{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "86e6ec5b",
   "metadata": {},
   "source": [
    "1. check data \n",
    "2. check fiducial features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 696,
   "id": "5e8752b7",
   "metadata": {},
   "outputs": [],
   "source": [
    "# segmentation 👌done\n",
    "# ui tkinter test saved in a separated file ,not preprcessed before 👌done \n",
    "# fiducial features 👌done "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 697,
   "id": "eae2d668",
   "metadata": {},
   "outputs": [],
   "source": [
    "# reveiw project and test again  👌done\n",
    "# save some array in text files to read later for testing ok 👌done\n",
    "# then tkinter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 756,
   "id": "c1466155",
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import scipy.io\n",
    "import scipy\n",
    "\n",
    "from statsmodels.graphics import tsaplots\n",
    "import statsmodels.api as sm\n",
    "from scipy.signal import butter,filtfilt,savgol_filter\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "# from scipy import signal\n",
    "from scipy.signal import butter,filtfilt\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "import glob\n",
    "import wfdb as wf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 757,
   "id": "65b9823f",
   "metadata": {},
   "outputs": [],
   "source": [
    "s2=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\chosen\\p_156\\s0299lre'\n",
    "s3=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\chosen\\p_165\\s0322lre'\n",
    "s5=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\p_174\\s0300lre'\n",
    "s7=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\p_184\\s0363lre'\n",
    "s8=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\p_185\\s0336lre'\n",
    "s9=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\p_198\\s0402lre'\n",
    "s10=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\sub_150\\s0287lre'\n",
    "s13=r'F:\\mohamed\\4th_year_new\\Semester 2\\HCI\\Project\\ptb diagnostic healthy subs\\sub260\\s0496_re'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 758,
   "id": "6bbb5baa",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import scipy.signal as signal\n",
    "\n",
    "def ecg_isoline_drift_correction(ecg_signal, sampling_rate):\n",
    "\n",
    "    # Apply a high-pass filter to remove baseline wander and DC drift\n",
    "    b, a = butter(2, 0.5 / (sampling_rate / 2), 'highpass')\n",
    "    ecg_filtered = filtfilt(b, a, ecg_signal)\n",
    "\n",
    "    # Estimate the isoelectric line (baseline) using a moving average filter\n",
    "    window_size = int(sampling_rate * 0.2)  # 200 ms window size\n",
    "    baseline = savgol_filter(ecg_filtered, window_size, 1)\n",
    "\n",
    "    # Subtract the estimated baseline from the filtered ECG signal\n",
    "    ecg_corrected = ecg_filtered - baseline\n",
    "\n",
    "    return ecg_corrected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 759,
   "id": "f71649da",
   "metadata": {},
   "outputs": [],
   "source": [
    "def butter_bandbass_filter(Input_signal,low_cutoff,high_cutoff,sampling_rate,order=4):\n",
    "    nyq=0.5*sampling_rate #nyquist sampling\n",
    "    low=low_cutoff/nyq\n",
    "    high=high_cutoff/nyq\n",
    "    \n",
    "    numerator,denominator=butter(order,[low,high],btype='band',output='ba',analog=False,fs=None)\n",
    "    filtered=filtfilt(numerator,denominator,Input_signal)\n",
    "    \n",
    "    return filtered"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 760,
   "id": "a1cf03a2",
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy.signal import find_peaks\n",
    "def ecg_segmentation(ecg_signal, fs=1000, threshold=0.5):\n",
    "    # Find R-peaks using a threshold-based approach\n",
    "    peaks, _ = find_peaks(ecg_signal, height=threshold)\n",
    "\n",
    "    \n",
    "    # Calculate the RR intervals\n",
    "    rr_intervals = np.diff(peaks) / fs\n",
    "\n",
    "#     # Plot the ECG signal and detected R-peaks\n",
    "#     time = np.arange(len(ecg_signal)) / fs\n",
    "#     plt.figure(figsize=(12, 6))\n",
    "#     plt.plot(time, ecg_signal, 'b', label='ECG Signal')\n",
    "#     plt.plot(time[peaks], ecg_signal[peaks], 'ro', label='R-Peaks')\n",
    "#     plt.xlabel('Time (s)')\n",
    "#     plt.ylabel('Amplitude')\n",
    "#     plt.title('ECG Signal Segmentation')\n",
    "#     plt.legend()\n",
    "#     plt.grid(True)\n",
    "#     plt.show()\n",
    "\n",
    "    return peaks, rr_intervals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 761,
   "id": "06b8743a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def extract_ecg_segments(ecg_signal, r_peaks, fs=1000, window_size=0.2):\n",
    "    # Calculate the window size in samples\n",
    "    window_size_samples = int(window_size * fs)\n",
    "\n",
    "    # Initialize an empty array to store the segments\n",
    "    segments = []\n",
    "\n",
    "    # Loop over the R-peaks and extract the corresponding segments\n",
    "    for r_peak in r_peaks:\n",
    "        start = r_peak - window_size_samples // 2\n",
    "        end = r_peak + window_size_samples // 2\n",
    "        segment = ecg_signal[start:end]\n",
    "        segments.append(segment)\n",
    "#     return np.array(segments)       \n",
    "#######################\n",
    "    lens=[len(s) for s in segments]\n",
    "    max_len=max(lens)\n",
    "\n",
    "    new_segements=[]\n",
    "    for s in segments:\n",
    "        if len(s)==max_len:\n",
    "            new_segements.append(s)\n",
    "        else:\n",
    "            zeros_size=max_len-len(s)\n",
    "            s=np.append(s,np.zeros(zeros_size))\n",
    "            new_segements.append(s)\n",
    "############################    \n",
    "    \n",
    "    \n",
    "    return np.array(new_segements)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 762,
   "id": "51752e39",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_using_ACDCT(filtered_signal):\n",
    "    sig=np.array(filtered_signal)\n",
    "    AC=sm.tsa.acf(sig,nlags=1000)\n",
    "    s=AC[0:100]\n",
    "    DCT=scipy.fftpack.dct(s,type=2)\n",
    "    \n",
    "    return DCT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 763,
   "id": "9cd59b35",
   "metadata": {},
   "outputs": [],
   "source": [
    "signal_array, fields=wf.rdsamp(s9)\n",
    "sig = signal_array[:,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 764,
   "id": "368ac5f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_signal=butter_bandbass_filter(sig,1,40,sampling_rate=1000,order=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 765,
   "id": "6766d17c",
   "metadata": {},
   "outputs": [],
   "source": [
    "ecg_corrected = ecg_isoline_drift_correction(sig, sampling_rate=1000)\n",
    "r_peaks, rr_intervals = ecg_segmentation(ecg_corrected, fs=1000, threshold=0.7)\n",
    "segments = extract_ecg_segments(ecg_corrected, r_peaks, fs=1000, window_size=0.7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 766,
   "id": "2a80d6cf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'ecg_corrected signal')"
      ]
     },
     "execution_count": 766,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,15))\n",
    "plt.subplot(4,1,1)\n",
    "plt.plot(sig)\n",
    "plt.title('Signal')\n",
    "\n",
    "plt.subplot(4,1,2)\n",
    "plt.plot(filtered_signal)\n",
    "plt.title('filtered signal')\n",
    "\n",
    "plt.subplot(4,1,3)\n",
    "plt.plot(ecg_corrected)\n",
    "plt.title('ecg_corrected signal')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 767,
   "id": "5578b5c8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'one Segment')"
      ]
     },
     "execution_count": 767,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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E1DgMRkTkMIzB57/ByMO5asSIU+mIiIiokRiMiMhhGEeMqk+l4z5GRERE1DQMRkTkMGqbSmdsvqCu1ENdqWvxuoiIiMjxMRgRkcNQmabSmY8YucmvBaUSTqcjIiKiRmAwIiKHUduIkUQsgpNYBADQ6LghNBEREVmOwYiIHEZxLSNGACB3Mvw401QyGBEREZHlGIyIyGHUNmIEADIGIyIiImoCBiMichi1daUDrgUjNYMRERERNQKDERE5BK1Oj3KtoeNcXSNGDEZERETUGAxGROQQru8251ZDMJI7SQBwKh0RERE1DoMRETkE4zQ6Z6kEUkn1H12yqmPsSkdERESNwWBERA7h2h5G1UeLgOum0mm5wSsRERFZjsGIiBxCXR3pgOvadXPEiIiIiBqBwYiIHEJdexgBbNdNRERETcNgREQOoaEjRuxKR0RERI3BYEREDsE4YlTTHkYAR4yIiIioaRiMiMgh1D9ixHbdRERE1HgMRkTkEIrVdQcjtusmIiKipmAwIiKH0NDmC2zXTURERI1htWC0YMECxMfHw8XFBV5eXg26Jjc3F1OnTkVISAhcXFwwZswYpKSkWKtEInIgqoY2X+CIERERETWC1YKRRqPBhAkTMGvWrAadLwgCbr/9dly4cAG//vorjh07hoiICIwcORKlpaXWKpOIHMS1NUZsvkBERETNr+avXpvBa6+9BgBYs2ZNg85PSUnB/v37cerUKXTp0gUAsGzZMgQFBeG7777DQw89ZK1SicgBXJtKV8saIwYjIiIiagK7WWOkVqsBAAqFwnRMLBZDLpdjz549dV6nUqnMbkTU+tTXlU7GfYyIiIioCewmGMXGxiI8PBzz589HYWEhNBoN3nnnHWRmZuLy5cu1Xrdw4UJ4enqabmFhYS1YNRG1lPr2MWK7biIiImoKi4LRvHnzIBKJ6rwlJSU1qhCpVIoNGzbg3Llz8PHxgYuLC7Zv346xY8dCLK69zPnz50OpVJpuGRkZjXp9IrJvDR0xYjAie1Kh1WHNvxfx7qYkFJVpbF0OERHVwaI1Rk8//TSmTp1a5zlRUVGNLiYuLg6JiYlQKpXQaDTw9/dH//790adPn1qvkcvlkMvljX5NIrJ/lTo9yjSGNty1NV+QS4xT6dium+yDulKHGV8exu6UKwCAf1Ov4JfHBkEkEtm4MiIiqolFwcjf3x/+/v7WqsXE09MTgKEhw+HDh/HGG29Y/TWJyH6VVG3uCjRgxIjtusmGBEHA6n/T8PfpHOSXqHEh/1pX1eOZSqTmlSAmwA1FZVp4u8psWCkREf2X1brSpaeno6CgAOnp6dDpdEhMTAQAxMTEwM3NDYBhXdHChQtxxx13AADWr18Pf39/hIeH4+TJk3jiiSdw++23Y9SoUdYqk4gcgHEanUIqhlRS89RaOafSkQ1lF5VjybYUnMstwZFLhabjUokIX0zti1V7LmJHcj5e//0MiisqcTyzCIvv7YVbe4TYsGoiIrqe1YLRyy+/jLVr15ru9+rVCwCwfft2JCQkAACSk5OhVCpN51y+fBlz585Fbm4ugoOD8eCDD+Kll16yVolE5CBUplbdNU+jA7jGiGxne3IeHv/2mNnI5rCO/hjZORADo3wR5e+GPJUaO5LzTdPqAODdTUkY0yXI9NklIiLbslowWrNmTb17GAmCYHZ/zpw5mDNnjrVKIiIHVV/jBYDtuqnlXSlRY9OpHLyzKQkl6kq4yCSICXBD73Bv/N+YWDjLJKZz7+zdDqeylfjlWBbiY/xw4EIBMgvLseFoJu7tF27Dd0FEREZWC0ZERM3lWjCqfcSI7bqpJVVodbh35X6k5pUAAGKD3LFx9o21jv6IRCK8cksXvHKLYQPzz3dfwJt/nMUn21NxZ+9QjhoREdkB/iQmIrt3bQ8jjhiRfViyLcUUivzd5VjxQJxF4WZS/wj4uclNo0ZERGR7DEZEZPcaNJVOwq501DJOZiqxfOcFAMDS+3tjz/8NQ4Svq0XP4SyT4JGhhu0tPtmeypFOIiI7wGBERHbPOGLkLq+/+YJay32MyLpe//00dHoB47sHY3z3YNM0Tktx1IiIyL4wGBGR3WvIiJGc+xiRFWUWluGTbSlYdzAdh6vacb8wrlOTnvP6UaOlO1Kh1wv1XEFERNbE5gtEZPdUDWq+cK1dtyAIEIlELVIbtX4/HcnE67+fgbJcazoW7e+KEC/nJj/3pP4R+GhLCjIKynEsowhxEd5Nfk4iImocjhgRkd0zTaVrQPMFvQBU8pt3aiYHLlzF0+uPm4UiAIiP9muW53eWSTCiUwAA4Lfj2c3ynERE1DgMRkRk9yzZxwhgy25qPst2ngcA9Iv0wVfT+0EsAtp5OePhIVHN9hq392oHAPh6/yX8efJysz0vERFZhsGIiOzetRGjOpovSBiMqHlpKvXYd/4qAODNO7picAd//PPUUPz91BCE+bg02+sk3OCPG2P8UKkX8Og3R9mIgYjIRhiMiMjuGUeM6trHyEkihkRsWFfEBgzUHE5mFUFdqYePqwwdAtwAADEBbnCTN+/yXJFIhGWTe2NCXCgA4K0/k6DlZ5iIqMUxGBGR3StuQPMF4NqokVrLPyqp6bYl5QEA+kZ6W72Zh7tCigV3dIOfmwxXStTYkZxv1dcjIqLqGIyIyO41pPkCAMilxpbd3MuIGk8QBCzdnoql2w3ri27r2a5FXlfmJMbN3UMAXAtlRETUchiMiMiu6fQCSjWGoFNfMDKNGHGNETWSIAh4Z1My3vs7GQDQr70PxnQJarHXHxDlCwA4WrVXEhERtRzuY0REdq2kahod0ICpdNftZUTUGIu3pmB5VSe6Z0d3xEOD20Msbrk9sYz7GJ3LK4ayXAtP57o/80RE1Hw4YkREdk1VNY1O7iQ2a8ldE+PjHDGixljz70V8tCUFAPDi+E54bFgM5E6SFq3B312OKH9XCAKw6xzXGRERtSQGIyKyaw1tvADA9EcsR4zIUjnKCryzyTB9zjBS1Hz7FFnKOHWPG74SEbUsBiMismtFZRoAgLdL/cGIU+mosZbtSEW5Voc+Ed54NCHaprXc0sPQgGHHuXxT4xEiIrI+BiMismuFZYY/DL0aEIzkbL5AjZBRUIYfDhs2VX3qphus3pq7PrFB7oj2d4WmUo/NZ3JtWgsRUVvCYEREdq2wasTIy0VW77mmESO266YG0usFPLHuGMq1OvSN9EZ8tK+tS4JIJDKNGq3dmwZBEGxcERFR22C1YJSWlobp06ejffv2cHZ2RnR0NF555RVoNJo6r6uoqMBjjz0GX19fuLm54a677kJuLr8xI2qrLJlKJ+dUOrLQxuPZOJpeBFeZBB/d28vmo0VGk/pHwFkqwfFMJX48kmnrcoiI2gSrBaOkpCTo9XqsWLECp0+fxocffojly5fj+eefr/O6p556Cr/99hvWr1+PnTt3Ijs7G3feeae1yiQiO2ecSudtyYgRgxE1gE4v4ONthi50sxKi0c7L2cYVXePvLsdjwwxrnV7deJprjYiIWoDV9jEaM2YMxowZY7ofFRWF5ORkLFu2DIsWLarxGqVSiVWrVuHbb7/F8OHDAQCrV69Gp06dsH//fgwYMMBa5RKRnWrMVDquMaKG+Od0Di7kl8JD4YQp8ZG2LqeaWQkx2HA0CxeulOKf07m4Ky7U1iUREbVqLbrGSKlUwsfHp9bHjxw5Aq1Wi5EjR5qOxcbGIjw8HPv27WuJEonIzhSZRowaPpWOwYjqIwgClu5IBQBMjY9sUDv4liYRi3Bbz3YAgO8PZ9i4GiKi1q/FglFqaiqWLFmCmTNn1npOTk4OZDIZvLy8zI4HBgYiJyenxmvUajVUKpXZjYhaj0Y1X2AwonrsSrmCU1kqOEslmDqova3LqdWEPqGQSkQ4eLEAq/+9iLziCluXRETUalkcjObNmweRSFTnLSkpyeyarKwsjBkzBhMmTMCMGTOarXgAWLhwITw9PU23sLCwZn1+IrItS0aMZJKqDV51DEZUO02lHgv/PAsAuL9/OHxc6w/dthLi5Yy7ehum0L322xnctWwvStWVNq6KiKh1sniN0dNPP42pU6fWeU5U1LUdw7OzszFs2DDEx8dj5cqVdV4XFBQEjUaDoqIis1Gj3NxcBAUF1XjN/PnzMXfuXNN9lUrFcETUihhHjLwb8MeraY2RlsGIarfhaCaScorh4yqz+WauDTErIRrrDhmm0mUUlOOLPRfx+IgONq6KiKj1sTgY+fv7w9/fv0HnZmVlYdiwYYiLi8Pq1ashFtc9QBUXFwepVIqtW7firrvuAgAkJycjPT0dAwcOrPEauVwOuVxu2ZsgIodQqdObRowa8q2+nPsYUQMYQ8bMIVHwdbP/3x8Rvq74YGIPvLspGTmqCuxOucJgRERkBVZbY5SVlYWEhASEh4dj0aJFyM/PR05OjtlaoaysLMTGxuLgwYMAAE9PT0yfPh1z587F9u3bceTIEUybNg0DBw5kRzqiNqio3BCKRCLAy7kBU+m4xojqIAgCvthzEYkZRXASi3BH73a2LqnB7uwdiu8eNvweTMwoQoWW4Z+IqLlZrV335s2bkZqaitTUVISGmrcYNe7irdVqkZycjLKyMtNjH374IcRiMe666y6o1WqMHj0an376qbXKJCI7VlBqmEbn6SyFk6T+73HYlY7qsv5wJl7//QwAYM6IDghwV9i4IstE+rrA312O/GI1fj6Whfv6hdu6JCKiVsVqI0ZTp06FIAg13owiIyMhCAISEhJMxxQKBZYuXYqCggKUlpZiw4YNta4vIqLWzRiMfBrQkQ64biodgxH9hyAI+HzPBQDAff3CMXtYjI0rspxIJML/qjrovfn7GSjLuOkrEVFzatF9jIiILGEKRg3sGsapdFSbo+mFOJdbAoVUjHljYyEWi2xdUqPMHBKF2CB3lGp0+PrAJVuXQ0TUqjAYEZHdMgajhnSkA64LRmzXTf/x5T5DiLilewg8G7BezV6JxSJMv9EwavTzsSwbV0NE1LowGBGR3TIGI9+GBqOqfYzYrpuut/F4Nn5NzAZg2LfI0Y3uGgSZRIzUvBKcyy22dTlERK0GgxER2S1LR4xMzRc4YkRVKrQ602auDw+JQq9wbxtX1HQeCimGdjRsm/HJtlQbV0NE1HowGBGR3TJu7trgESOuMaL/WH84A5eVFQjyUGDuTTfYupxm88SIDhCJDKNhZy+rbF0OEVGrwGBERHbLNGLUwK5014IR93ghQKvTY/lOQye6R4dFQyGV2Lii5tO1nSfGdQ0GAHy++6KNqyEiah0YjIjIbpm60rlZFoy4jxF9vvsCbnjxL2QVlcPfXY6JfcJsXVKzmxIfCQDYmpQLvV6o+2QiIqoXgxER2S3uY0SNcSpLiTf/OAvjtnkPD45qVaNFRr3CveAqk6CoTIuzOZxOR0TUVAxGRGSXBEGweB8jOdt1E4B/TucAALxdpHj7zm6YNijStgVZiVQiRt/2PgCA345ftnE1RESOj8GIiOxSmUZnmhLX4A1e2a67zdt3/iqW7jgPAHhhfGfc2y8cTpLW+6vunqopgit3nceRS4U2roaIyLG13t8WROTQjKNFcicxXGQNmwYll3LEqC0rUVdi7g+J0OkF9Ar3wvhuwbYuyerGdgvG7T1DoBeAeT+dgCBwrRERUWMxGBGRXbp+Gp1IJGrQNbKqkQGdXoCOi9HbnC/3peGysgLhPi745qH+cG5goHZ0r93WFQqpGCl5JTiRqbR1OUREDovBiIjsUkGZZa26gWtd6QA2YGhr1h1Mx7ubkgEAs4fHwEXmZOOKWo6nsxQ3dQ4CAPx0NNPG1RAROS4GIyKyS8oyLQDA21Xa4GuuD0Zq7mXUZly6WopXNp4GAAzu4IfbeobYuKKWZ1xrtP5wJgqrRluJiMgyDEZEZJeKqkaMPJ0bHoycxCKIq2bdccSo7Vi15yLUlXrER/viy//1g9ypbUyhu96gGF90DvZAuVaHP06yQx0RUWMwGBGRXVKWVwIAPJ0bPpVOJBJxk9c2JkdZgZ+OGKaPPTYspsHr0VobkUiEW3oYRsr+OZNr42qIiBwTgxER2aWicsOIkZdLw0eMgGsNGNiZrvXT6wXM/SERpRodeoR6Ij7a19Yl2dRNnQMAALvO5eOXY1k2roaIyPEwGBGRXVKWG9YYWTKVDgBkTtzLqK34+sAl7D1/Fc5SCT68p2ebHS0yiglwx/39wwEAr/52GsUVWhtXRETkWBiMiMguGZsveFkYjOROHDFqCzIKyvDB5nMAgHljYxHl72bjiuzD67d2QZS/K4rKtFh3MMPW5RARORQGIyKyS0WNHDEyBSOuMWq1MgrKcO/K/Sgq06JLiAcmVY2SEOAkEWP6je0BACt2XTB9wUBERPWzWjBKS0vD9OnT0b59ezg7OyM6OhqvvPIKNJq624iuXLkSCQkJ8PDwgEgkQlFRkbVKJCI7ZppKZ+kaI1PzBbbrbo0KSjW4//P9yCoqR5SfK1ZP7QsnCb/ju94tPULgIpPgSoka93++H5UcPSUiahCr/TZJSkqCXq/HihUrcPr0aXz44YdYvnw5nn/++TqvKysrw5gxY+o9j4hat6IyjhhRdav2XEBGQTnCfVzw7YwBCPBQ2Loku+OhkOKzB/tAIRXjdLYK3x3ilDoiooaw2tbgY8aMwZgxY0z3o6KikJycjGXLlmHRokW1Xvfkk08CAHbs2GGt0ojIzgmCAKWpK13D23UD10aMGIxanwqtDl/vTwcAPD+uE4I8GYpqMyjGD/PHdsIrG0/jg3+ScWv3EItHX4mI2poWnX+gVCrh4+PTrM+pVquhUqnMbkTk2FTlldDqBACAr2sjgxGnD7U6O5LzoCzXIthTgZs6B9q6HLs3qX84OgS4obBMi8VbU2xdDhGR3WuxYJSamoolS5Zg5syZzfq8CxcuhKenp+kWFhbWrM9PRC0vR1UBwLCHkUIqseha4z5GbNfdulTq9Phs90UAwK09QyARt+3W3A3hJBHjpZs7AwC+3JeG1LwSG1dERGTfLA5G8+bNg0gkqvOWlJRkdk1WVhbGjBmDCRMmYMaMGc1WPADMnz8fSqXSdMvI4FxqIkdnDEaB7pZPlZIb9zHiiFGrodcLeOzbozhyqRBucidM7h9h65IcxpAb/DEiNgCVegEL/jhj63KIiOyaxWuMnn76aUydOrXOc6Kiokz/zs7OxrBhwxAfH4+VK1daXGB95HI55HJ5sz8vEdlOrrIqGDViDQnXGLU+W87m4u/TuZBKRPj4vp4I83GxdUkO5YXxnbArJR/bk/OxN/UK4mP8bF0SEZFdsjgY+fv7w9/fv0HnZmVlYdiwYYiLi8Pq1ashFrOlKhHVL7dqxCjIw/IvPdiuu/VZsesCAGDG4CgMj+XaIktF+bthYp8wfHMgHd8cTGcwIiKqhdWSSlZWFhISEhAeHo5FixYhPz8fOTk5yMnJMTsnNjYWBw8eNB3LyclBYmIiUlNTAQAnT55EYmIiCgoKrFUqEdmZHFMwasxUOo4YtSaH0gpw5FIhZBIxpg6KtHU5Duu+foZNcDefzkVecYWNqyEisk9WC0abN29Gamoqtm7ditDQUAQHB5tuRlqtFsnJySgrKzMdW758OXr16mVaizRkyBD06tULGzdutFapRGRnjCNGjdmjhlPpWg9BEPDuJsOa1Tt7t0NAI9ackUHXdp7oHe4FjU6Pz6uaWBARkTmrBaOpU6dCEIQab0aRkZEQBAEJCQmmY6+++mqN19S3romIWo+mjBgxGLUe+85fxaG0QjhLJXhiZAdbl+PwZg+PAQB8vf8SCko1Nq6GiMj+cNEPEdmdXJUaABq1gafc2K6bwcjh/XQ0CwBwe692CPZ0tnE1jm9YxwB0DvZAmUaHR74+wi8PiIj+g8GIiOyKVqfHlRJDMApoRPMFedW+R/yjz3FlFJRh8ucH8NPRTADA7T1DbFxR6yASifDG7V2hkIpx8GIB/j6dU/9FRERtCIMREdmV/GI1BAFwEovg59qIrnRVI0Ya7mPkcM7nl2Dq6oMYt3g39qReAQBMiAtFv/Y+Nq6s9YiL8MZDNxq21PjhMPf9IyK6HoMREdkV4/qiAHc5xGKRxddzjZFjqtTp8eS6ROxIzkexuhI+rjKsmdYX797dHSKR5Z8Dqt1dcaEAgL3nr0JVobVxNURE9sPifYyIiKwpT9X4zV0B7mPkqP46lYOTWUpIxCK8fWc3jOkaBHeF1NZltUrt/VwR5e+KC/ml+DflCsZ2C67/IiKiNoAjRkRkV4yNFwLcLZ9GB1zbx4jNFxyHIAhYses8AGDO8A6Y0CeMocjKhnUMAACs3Zdm1i2WiKgtYzAiIrtibCPs69a4YMSpdI7n39SrOJWlgkIqxgMDI2xdTpswZWAkFFIx9l8owOYzubYuh4jILjAYEZFdKSozBCMfF1mjrpexXbdDKVFX4sVfTgIAJvYJg49r4/67k2XCfV0wZWAkADZhICIyYjAiIrtSUGZYDO7l0ripVGzX7Vi+2ncJaVfLEOKpwFMjb7B1OW3KhD5hAIBtSXk4k62ycTVERLbHYEREdqWwaipdY0cO2K7bMej0Ar7cl4bFW88BAJ666QZ4c7SoRcUEuGF8t2DoBeCBVQdw9jLDERG1bQxGRGRXjGuMGvtHMtcYOYbFW87h5V9Po0KrR69wL9zWs52tS2qTXrq5M6L8XXG1VIMn1h1DhZbdHImo7WIwIiK70tQ1RnK267Z7p7OV+HSHoQvdEyM64IeZA02BllpWkKcC62cOhJ+bHOdyS/DB5nO2LomIyGb4m4iI7EpBWdOm0jnLDGuMyjUMRvbq9d/OoFIvYGzXIDx10w2QSviryJZ83eR4+85uAIDPdl/A3tQrNq6IiMg2+NuIiOxGuUaHCq1hClxjp9I5VzVfMD4P2ZccZQUOXCwAYJjGRfZhZOdA3NMnDIIAPPrtUVzIL7F1SURELY7BiIjshnG0SCoRwbVq5MdSxmCk0elRyQYMdkWvF7B4awoAoE+EN0K8nG1cEV3vtdu6oGeYF4rKtJi25hCulqhtXRIRUYtiMCIiu2HsSOftIoNIJGrUczhfF6jKuZDcLpRpKjH3h0REPf8nvjuYDgCYEh9p26KoGoVUgs+n9EGYjzMuXS3DW38m2bokIqIWxWBERHajsInriwBD8wVjpmIwsr39F67itk/+xYajWQAM7dQX39sTt/QIsXFlVBM/Nzk+mNgTAPDT0Uzct3I/1vx7EYIg2LYwIqIW4GTrAoiIjAquGzFqLJFIBBepBKUaHRsw2IAgCNiRnI/8EjXGdwvG0z8cR1ZROWQSMRZN7IHhsQFwk/NXjz3rE+GNcB8XpBeUYd+Fq9h34SoEANMGtbd1aUREVsXfTkRkN5q6uauRs6wqGHHEyKpylBV4deNpiESAVCKGj6sM2UXl+OdMLgDguR9PmM7984nBiAlws1WpZAGRSIRXb+2ML/akYd+Fq9DpBbyzKQmjuwRxXRgRtWoMRkRkNwrKtAAAb1dpk56HLbutT1muxb0r9yHtalm95z4+PIahyMEMjw3E8NhACIKAiSv24VBaIV7/7Qw+urcnFNLGNUYhIrJ3VltjlJaWhunTp6N9+/ZwdnZGdHQ0XnnlFWg0mlqvKSgowOOPP46OHTvC2dkZ4eHhmDNnDpRKpbXKJCI7YtzctSlT6YBrnekYjKwjq6gcU1cfRNrVMkglItwdF4rJA8LhKpNgWEd/fDW9H969uzs6BrpjQlwonhjRwdYlUyOJRCI8OzoWALDpdA4GLNyKGV8exvwNJ3GeLb2JqJWx2ohRUlIS9Ho9VqxYgZiYGJw6dQozZsxAaWkpFi1aVOM12dnZyM7OxqJFi9C5c2dcunQJjzzyCLKzs/Hjjz9aq1QishPNscYIuC4YcSpds6rQ6vDtgXR8sPkcStSV8HSW4puH+qNrO08AwOu3doVYfK2b4MQ+YbYqlZpRv/Y++HRSbyz44yyyisqxuWqq5E9HM/HmbV0xsS//OxNR62C1YDRmzBiMGTPGdD8qKgrJyclYtmxZrcGoa9eu+Omnn0z3o6OjsWDBAkyePBmVlZVwcuLMP6LWrDm60gHXptKVccSo2Wgq9Zj8+QEcvlQIAOgS4oFP7u+N9n6upnOuD0XUuozrFoyRnQKx/kgG8ovVOHixAHvPX8WLv5xCn0hvRPlzqiQROb4WTRpKpRI+Pj4WX+Ph4VFrKFKr1VCrr21Cp1KpmlQjEdlOQalhjZGXSxPXGHHEqNn9deoyDl8qhJNYhMkDIvDEiA7wbmKAJccicxJjUv8IAIbug1NXH8LOc/kY/v5OvDi+Ex4aHGXjComImqbF9jFKTU3FkiVLMHPmzAZfc+XKFbzxxht4+OGHaz1n4cKF8PT0NN3CwjikT+So8lQVAIAAd0WTnsdFZvgipYLBqFkIgoAv9lwEADw+vANevbULQ1EbJxKJ8NqtXSBzMvwZ8eYfZ/HU94nYlpRr48qIiBrP4mA0b948iESiOm9JSea7ZWdlZWHMmDGYMGECZsyY0aDXUalUGD9+PDp37oxXX3211vPmz58PpVJpumVkZFj6lojIDqgrdbhatcYoyLNpwcjYNYtT6ZrHbycu43imEi4yCe7vH27rcshORPq54tP7e8Opagrlz8eyMH3tYZzILLJtYRbS6wUcuVSA/GI1UnKL8eS6Y3jtt9Mo01SiVF0JACiu0OKjLefwa2IWlFXdM4mo9bF4Kt3TTz+NqVOn1nlOVNS14fTs7GwMGzYM8fHxWLlyZYNeo7i4GGPGjIG7uzt+/vlnSKW1T6uRy+WQy+UNel4isl95KsOUWJmTGN5NnErnwnbdzWZ7ch7mfHcMAPDI0Gj4u/PnLV0zsnMgUhaMxQ+HM/B/P52EIAC3fvIvOga646vp/RDg0bQvOaxNpxfw3I8n8NPRzGqPrf43Da4yCX55bBCeXn8cJzINHXLd5U7Y8vRQ+LvJcTCtAF1CPOCuaNrPLCKyDxYHI39/f/j7+zfo3KysLAwbNgxxcXFYvXo1xOL6B6hUKhVGjx4NuVyOjRs3QqGw7x+qRNQ88ooN0+gCPeQQiZq2iN+0jxGn0jXJP6dz8PBXRwAArjIJpsRH2rYgsksikQj39A3HsNgATPrsAFLySpCcW4yHvjyM1VP7wtfNfsP0vJ9qDkVGpRodbvpwl9mxYnUlvj2QjsvKcvxwOBPR/q74aVY8vJrYTZOIbM9qa4yysrKQkJCA8PBwLFq0CPn5+cjJyUFOTo7ZObGxsTh48CAAQygaNWoUSktLsWrVKqhUKtM1Oh3/wCFqzXKUhhGjwCauLwKuNV8o01Q2+bnaIq1Oj/kbTphCkZeLFO/e3QOezvxWnGoX4K7AH3MGY+n9vaGQinEiU4l7V+43felhTwRBwMpd57H+iCEULb63Jx5NiMb0G9tj3/zhePP2rtX233p+XCzeu7u74fytKfjhsOHa8/mlWLw1pWXfABFZhdW60m3evBmpqalITU1FaGio2WOCIAAAtFotkpOTUVZm2Dn96NGjOHDgAAAgJibG7JqLFy8iMjLSWuUSkY3lVDVeCGzi+iIAcJMbfrSVqvmFSmOs3HUB3x28tl5zz/8NN/1vSlQXmZMY47sHo2OQOyZ/bhg9uvPTvVg2KQ7dQj0b9ByFpRp4uUih0ws4nqlElxAP07rBpioq00AhleCfM7l460/Deujx3YNxW892ZudNHmDovhfgIceyHecxqnMQ/jeoPSr1Aj7ffRHJucXwcpHi1h4h+HLfJXxzIB3d2nkiJa8EPUI9MaZrcLPUS0Qty2q/6aZOnVrvWqTIyEhTSAKAhIQEs/tE1HZkFhq+IAluhjUJ7grDj7biCi6StpSyTItPt6ea7j87uiNDEVksJsAN388cgMmrDiCjoByzvzuKf54aArlT7QFHU6nH7G+P4p8zuRjfLRhyJzE2HMtCuI8LNjwaD7+qKXnlGh3KNJWmKXqCIOC1386gRF2Jt+/sBieJ+WQYdaUO725KxuYzuUgvKEOUvytU5YbRZD83GeaNia21pkn9I0wtygHASQJ8M6M/fjqSibFdgxHm44yMgjJsT87H3B+Om1374MAIvHZrlyZPDSailtNi7bqJiOqSdLkYAHBDkHuTn8ujasqX8Y8fqt+ZbBUeWHUAPd/4B6UaHToEuOHCW+Pw2LCY+i8mqkGErys2PnYjAtzluHS1DD8cqrtr7Bf/XsQ/Zwztvv84eRkbjmUBANILyvD57ovIU1XgVJYSN76zDTe+sx0nMotQoq7E0z8cx5q9afjxSCbW7E0ze05NpR7LdpzHqj0XkV5g+PLlQn4prpSo4SZ3wo5nhyHMx8Wi9+XnJsfModEI93WBSCTC+xN7onsNo2Ff7ruEHcn5Fj03EdkWvwYkIpsTBAFncwybM3cO9mjy8xlHjFQcMWqQT3ek4uOtKajQ6gEAHgonvHZrF4jF/KabmsbbVYZZCdF47bczWLHrAjqHeOC345cRG+SOiX3CoBMErP73IpbvvICCqnb9gzv44d/UK9ALQKdgD5y9rMLyneexfOd5s+e+9ZN/q73eB5vPoVs7T5zMUuLLfZdMYQgwjH52beeJKV8Y1jUPucGvWUZDfVxl2DArHhevlCLIU4HvD2UYWtxnFGHRP8lIyStGXIQ34iIs2+CeiFoegxER2VyOqgJFZVpIxCLEBLg1+fk8qlrnFldwxKg+u1Py8e6mZADAjTF+eG5MR3QIcDd19iNqqrviQvHBP+eQWViOu5btMx2ft+Gk2XkiETBlYCRevrkzjqYXokRdiSEd/DFhxT4cuVRoOs9VJoGvm9wUevzcZBjfLRj7LxQgObcY96zcb/a8zlIJ7oprh5lDouAkEWP6je3x1f5LeGRodLO9RyeJGB0CDaPdDw2Owq09QjDig504na3C6WzDlz4eCidIxCK4yJzQr70Pbu/VDkNvaFiXXyJqGSKhlS3qUalU8PT0hFKphIdH0795JiLr25t6Bfd/fgBR/q7Y9nRCk5/vQn4Jhr+/E+4KJ5x8dXTTC2yFdHoByTnFmLzqAApKNZjYJxRv39mdo0RkFUcuFeL5DSeRnFtc7TGFVIx5Y2JxR+/QGjsfZheVY/nO8xgeG4DUvBIkdAxAsKcCz/10AqeylPjswT64IdAdl5XleHXjafx9OhcKqRgxAW7oGOiBBXd0NWveIAgC9AIgsfJn/Z/TOfh4WwpU5ZVmI1dGIhFwS/cQeLtIUakXMP3G9ojyb/oXQ0RkzpJswGBERDb3a2IWnliXiPhoX3w7Y0CTny+/WI2+C7ZAJALOLxjXpv7YFwQBRWVaeLvWvqfK1/sv4cVfTpnud2vniW9n9OcmlWRVgiAgv1gNf3c5Dl8qhLZSjzAfF/i7yxvddU4QhGrNDc5kq+DnJrOrzWWzi8pRpqmEIADn80vw09EsbK5aT/Vffm5ytPdzwYlMJQI85PB3k0MsEmFct2BMiY+0eqAjam0syQacSkdENpdfbNjDyN+9eTaCNK4xEgSgRFNpmlrX2mkq9Zj51WHsOJeP7x8eiL6R3vj+UAbCfVwQH+MHrU6PdYcy8Ppvp03XxEV444upfRmKyOpEIpEprPSNbJ71NjV1fOscYn9fioZ4OZv+3SHQHWO6BmPnuXzsTb0CnV7ArpR8nMstAQBcKVHjSonhZ2JGQTkyCsoBAIcvFWLFrvNYNjkOvcO9W/5NELUBDEZEZHOmYOTWPMFIIZVA5iSGplIPVbm2zQSjHw5nYHtVF6yJK/bh4SFRWLnrAgCgQ4AbJGIRknIMU5kCPeSYP7YTbu4eXK29MRFZ39Ab/E1rjFQVWny++yJK1ZX4av8leDlLcUOgO6L9XTEw2g/HM4uwdm8aclVqPPzlEfw7b1idrc+JqHEYjIjI5pp7xAgwNGC4UqJuUw0Ytpw1n5pjDEUAkJJXYvr3UyNvwGPDohmIiOyEh0KKuTfdAAB4ZGg0vFykkF73/59jugbh0YRoDH9/J/KL1bj/swPwdpFiTNdg3NW7HfdKImom/K1IRDaXX2KNYFTVsru8dbfsLirTQFWhhapCi33nrwIAZE7XfrS383LGu3d3x8AoXwCGVshPjOzAUERkp/zd5WahyMhdIcXU+EgAhmYWW87m4Zn1xzFl9SEcuVSAn49lIrOwDLtT8lFY1fr8dLYSl5XlLVk+kUPjiBER2Zw1Rozcq7pbFbXCYHRZWY7E9CKkF5Th7U1J8HSWon97H6gr9Yjyd8WWp4ZCJwg4n1+CSF9XKKQS3NU7FIfSCmrciJKIHMPDQ6LQ3s8VpepKZBSWY8XO89h1Lh+7zplvJOsik8DXTYaMgnLIncR49+7uuK1nOxtVTeQ4GIyIyObyqoKRXzOtMQKAwKqQlaeqaLbntAdZReW489N/katSm44VlWnx92nDNLo3b+sKsVgEMUSIDbq2CF0iFmFA1agRETkmqUSMcd2CTffHdQvCtNWHcFl57eecm9wJJepKlFU1bVBX6jH3h+No5+WMPs3U9IKotWIwImoGe89fwZG0QkweEFFnm2SqrkxTadrx/vrOTU1lfK5sZesJRulXy/Dir6fMQtH1+rf3QXyMXwtXRUS2EhvkgV9nD8KmUzkY2zUYzjIJXKQSfLI9Fd8eSMdjw6JxMK0Qvx3PxlM/JOLbhwYgzMfF1mUT2S0GI6ImemdTEpbtOA8A+OdMLn6aFW+2xgOoea8NMsgqNHyr6a5wqnFzx8YK9jS0Bb5c1Drm1y/feR5v/5UEAHASi/DnE4Oh1uoRE+CGP05exrakXDw58gYbV0lELS3AXYEHB0aaHZszogPmjOgAALi1ZzscSy9ERkE57vj0X3w/cyCiuZEsUY0YjIia4FSW0hSKAOBklhJbzuZiXLdgnMstxt+nciCRiPDBP+fg7y7H6C5BeOWWzgxJ18koNOwIH+bdvN9iBlUFo9YwYpSaV4z3/k4GAPQM88JDg9vjhkB30+N3x4Xi7rhQW5VHRHbM01mKn2bFY9rqQzhzWYXpaw5h5YN9zH6GXE9TqUeuqgLqSj3+PHkZ0wZF2mSfM71ewM6UfEAAbuzgV2NDiqbS6QUcSy+ESARU6gScyFRi4/FsxEV4I8BDjm7tPDG4g3+zvy7ZLwYjoiZYteciAODWHiEI83HG0u3n8eg3R+HnJjdt0Gd0WVmBNXvT0CfSGzd3D7FFuXbJuHlhmE/zTaMDrk2law0dmVb/mwadXsDw2AB8MbWvrcshIgcT6KHAigfiMOKDnUi7WoZxi3fjhfGdMDU+0uyLuqIyDSau2GfabBYAknJUWHp/b6t8oZdRUIZyrQ4dAtyQWVgOZbkWAe5y+LrJ8fCXh7E1KQ8A0CnYAzd1DoSqXIvZw2OQdLkYPcO94Ca37M/YKyVqnMxUIsTLGR0C3PDh5nP4ZHtqtfNOZikBGNZmfj6lD4Z1DGj6myWHwGBE1Eg6vYBtVT+0HxwYgUAPBZZuN4we/TcUjewUADe5E35JzMa7m5IxukuQVb79ckSZVSNGoc08YmScSpejrIBOL0AidqxRuvSrZTifX4Ibgtzx09FMAMBDg9vbuCoiclRhPi749qH++HhbKnady8drv53B0fQizBkegy/+vYhRXYLwzf50s1AEAH+ezMHKXRdwc48Q+LvJq00Vr4+6UgexSFTtd15hqQa3fLIHRWVaiEWAXjAcl4hFCPN2RtpVw+8GuZMYZy+rcPayCgCwZm8aAEAhFSPE0xlzR92Am7uHYNWei0jMKMKk/uE1NppJu1KK+z7bb2pUEeXnigtXSk2Pt/NyRrCnAu4KJ1y4UopLV8ug0wuYtvoQ2nk5Y1ZCNCYPiLDovZPjEQmCINi6iOakUqng6ekJpVIJDw+P+i8gaqTEjCLcvvRfuCuccOylm+AkEePHI5l48ZeT0OoEPDAgAjEBbpBJxLg7LhTqSj0Gv7sdV0rUmD82FjOHRtv6LdicIAgY//EenLmswoI7umJS/+b7paPTC+j26t8o0+iw+akh6FDLtBF7dPBiAaatPohSjc50rGs7D/w2+0ZOwySiJhEEAav2XMTbfyWhUl/zn4CRvi7oGOQOPzc5vjmQbjru7SLFqM5BeGZ0xwZtr5BRUIZ7V+6Hk0SETU8MgbNMYqrhpV9P4ev9157bSSyCWCyCplJvOvbOXd0wolMgPtmWirziCvx5MqfaaziJRYgJcENSTjEAQ5Ba+79+8HeX4+ejWchRVcDXVYYNx7JMW0Ncr2eYF35+NL7az9YKrQ43L9mD1KrNsaUSEd69uzvGdQuG3ElS73u/kF+CrKJyBHoo4OkshavcCW5yJ+j1Ai6rKtCuGZsNUd0syQYMRkSNtHLXebz1ZxJu6hyIzx7sYzqu1wsQ1zI68cOhDDz30wkopGIcemGkTeZt25Nj6YW449O9kDuJceD5EfByad6OfhOX78PBtAK8P6EH7rLTNThlmkroBUBbqYdYLEJyTjFmfX0EV6s69QGASAR8Pb0/BrHjHBE1kx+PZOKZ9cerHX9xfCc8NDgKgOELpg83n8OX+9JQoq40jep4KJzQP8oXL9/cudYud1dL1Lhr2V7TyI+7wgnR/m4oKNUgvaDMdN5zYzpCJhHjlh4hCHCXY9E/yVi+8wJu7RGCDyb2MAssa/em4fM9F3Bz9xAk3OCP+RtOmo361KdjoDu+fqg/LivL8cCqg1BX6rBh1iB0Dqn570Xj1LuPtpzD8UzD9LobAt2waEIPdA/1qvV1EjOKcN/K/SjXXvtyy8dVhtnDYnDmsgo/HsnEnOExAIB7+4U3a0dWqo7BiMGIWsCz649j/ZFMPDmyQ4O7gQmCgBEf7MSF/FIsvrdnm99wb/W/F/Hab2cwslMgPp/Sp/4LLPTG72ewas9FTI2PxKu3dmn252+qc7nFuHvZXqgqKqs91inYA8+N6QhPZyluCHS3eC49EVF9/jp5GTuS8xHp54pPd6Ti/n7h+L8xsTV+uVep02NXSj7e+P0sLlaFkZGdAvD5lGvrHvV6wTRKMu+nE9hwLKvW15Y5iTF/bCymDao+RbhCq4PcSVzvCLlOL+DPk5exYtd5DGjvi0eHxeD1307jl8Rs0zlRfq6I8HVB73BvTB/cHi4yw89SVYUWpepKBHvWH0rKNTos3pqCtXvTTGHn2dEdcfBiAVJyi+HnLsewjgGYM6IDxCLg5iV7cDpbZXqf14+C/VfvcC/8+Eh8rV+oUtNZkg2s9ps2LS0Nb7zxBrZt24acnByEhIRg8uTJeOGFFyCT1f6t8MyZM7FlyxZkZ2fDzc0N8fHxeOeddxAbG2utUokaJTXfMLweE9DwtqcikQjjuwVjybZU/HnycpsPRpeqvkmM9ne1yvN3D/UEAJzILLLK8zfG3vNXsP5wJm7pEYznfjxRYyi6pUcIFtzRFR5tfESRiKxrbLdgjK3aMHZWQt3Tu50kYgyPDcSAKF8s3pKCFbsuYMvZPOxIzkNCxwCUaSox+fMDOJpeZHbdhkfj8fvxy/jhcAYEQcCkARG4s3c7hHg51/ozTiGtf6oaYFiPdEuPENzS41pDow/v6YkRnQIhEYswqnMgnGpZz+uhkDb4Z6yzTIJ5Y2Nxd1wo3vj9DHaeyzd1CgUM3U9PZCoR4CHH8YwinM5WwVkqwb/zhkMhFaO4ohKbz+Tioy3ncLVUg+uHJI6mF2HN3jT0jvDGudxiLN95Hj1DvTBnRAeE+bg43PpYR2e1YJSUlAS9Xo8VK1YgJiYGp06dwowZM1BaWopFixbVel1cXBwmTZqE8PBwFBQU4NVXX8WoUaNw8eJFSCQN+38UImsTBAHn8ywPRgAwtqshGO1IzkepuhKubXgk4NJVw7eOEb7WCUbd2hmC0elsFSp1+lp/QVqiKY0ctDo97v/sAADg56pvUmMC3LB8chyCPRWo0OpwWVmBLiEeXEtERHbJReaE+eM6oVyrw5f7LmHamkPoFeaFCq0eZ6oaJBhNGRiB3uHe6B3ujZdv6dwi9YlEIrOg1JxiAtyw9n/98PHWFHyw+RwA4MYYP4R6O2PdoQy88PMp07mzh8fAp2rDdxeZEyYPiMD9/cKh0ekhk4ix41wetifl46v9l/D672fMXudCfik2HMuCn5sMC+7ohl8Ts7DljKHZk4tcgnv6hGHe2Fj+nrACq/1FNmbMGIwZM8Z0PyoqCsnJyVi2bFmdwejhhx82/TsyMhJvvvkmevTogbS0NERHc7E6NT9NpR5v/XkW5/NL8PG9veDtWv86l/wSNVQVlRCLgEgL/6jvFOyOSF8XpF0tw/bkvDbduts4YhTpa52d2CN9XeEud0KxuhIpeSXoFNz46bXrD2fgk+2pyCosxwf39MStjfjFu+VMrtl9X1cZfnxkoGltlavcCb5u9S9oJiKytefGxOLS1TLsPJdvGiVSSMVYPjkO5/NLoSzT4LGqdTStzZwRHRAb5I4TmUo8OiwaUokYybnFOFb1v8PkAeF4bFj19y4Wi6AQG77kHx4biCEd/HFZWYEtZ6/9bnCTO0EEoFhdiSslGsz86ojZc2jK9Fix6wK+O5gOhVSCKH9XvHxzl1rXSZFlWvSraqVSCR8fnwafX1paitWrV6N9+/YICwuzYmXUln2yPdXU/nPx1hTMHBpV75zjo5cKARi+PWrokL+RSCTCiE6BWLXnIv5Nvdpmg5FOL5g2d43ws86IkVgsQtd2nth34SpOZiobHYzO5Rbj2R9PmO7/348nEBfhbXFXoZ3n8k3/dpM7YfG9vZq94QQRUUtwkzth7f/6IbOwDJtO5SBHWYE7e4eic4gHEjraujrrG9UlCKO6BJnur3ygDxb8cQZ5xeoGrzt2kojx2YNxOHu5GFH+rqjUC3CRSqDR6aHR6fHqr6ex4VgWPJ2lePvObugZ7oVVuy/i8z0XoaqohKqiEnnFajyw6gD+mDPYtLE5NV6LBaPU1FQsWbKkztEio08//RTPPfccSktL0bFjR2zevLnWdUlqtRpq9bX2iyqVqsbziGqi1wv48XCG6f6avWlYszcNH0zsgTt7197FbE/qFQDAwBr2SmiI/u19sGrPRRy8eLVR17cGuaoKaHUCnMQiBHlY74d591BDMDqRVYSJfRv3Bcsn2wwbAPaN9EapWoczl1V4beNpfHJ/b9OeHuUaHTafzcWgaF9kFJbjhkA3LNtxHtuT8/DGbV3RK9wbe88b/nsvvb83buzgB09nriEiIscW6u1i6mLXlvm7y/HRvb0svk4kElUb7VGIJVBIJXh/Yg/c1z8c0f5upml5L4zvhBs7+EGrE+DjKsULP59CUk4xRn6wE04SESJ9XTFnRAyGxwY2y/tqayyecD9v3jyIRKI6b0lJSWbXZGVlYcyYMZgwYQJmzJhR72tMmjQJx44dw86dO3HDDTdg4sSJqKioqPHchQsXwtPT03TjyBJZ4vClQmQrK+Amd8JtPa+N3Lzw8ynkqcw/c3q9gFc3nsZtn+wx7b0wMLpxwahvpGHk9Hx+KTKua1vallxWlgMAgjwVVl1c2q2qAcPJqlarlvo39Qo2Hs+GSAS8fHMXvHG7obvdP2dy8f4/1xbfzttwAnO+O4a4N7fg9qX/ovPLf2PJtlScylLhjk/3ovcbm5FeUAYnsQhDO/ozFBERUZ1EIhH6RvqYQpHxWELHANzUORBxET5YfG8vOEslKFFXoqhMi8SMIjz+7bE6O+FdTxAEvP1XEh795gjSLGh93lpZ3K47Pz8fV6/W/S13VFSUaYQnOzsbCQkJGDBgANasWQOx2LIsptFo4O3tjc8//xz33XdftcdrGjEKCwtju25qkOd/PolvD6Tj7rhQvHtXdxxKK8CLv5xCSl4JgjwU+HZGf0T5u2FbUi6+2Z+OrUl5pmv7tffBV9P7NWijt5rc/9l+7D1/FUNv8MeKB+IsnpLn6H47no3HvzuGfpE++OGRgVZ7nfSrZRjy3nbIJGKcem20xbu2P7DqAHanXMGDAyPw+m1dAQBf7UvDS7+eBmDYLb1LiAf++c/6odrMGdEBc29q2DQLIiKi+lwtUeN8fike/OIAKrSGQFTXliB6vYB9F67i4MUC/H4iG+fzDYEo0EOO32bfiAAPBS5eKYUIQGQdU90FQUBybjF0egGdg+23aZBV23X7+/vD39+/QedmZWVh2LBhiIuLw+rVqy0ORYDhf3RBEMzCz/Xkcjnkci5WJsuVaSrxx4nLAIDbe7aDWCxC/yhfLLijGyZ/fgA5qgqM+3g3eoZ5Yf+FAtN1sUHumDOiA0Z3CWrSSMcL4zvh9qX/Yue5fMS+tAkPDIjAoBg/jO4SaLc/XJpTdpFhxCjEy7pzosN8nOHpLIWyXIvknGLTCFJDpOQWY3fKFYhFwIzrpopM6h+BL/5Nw8UrpcgqKkdW1XsZ3y0Yc0Z0gEQMHE4rRPdQL3i7SvHx1lS4K5zQL9IHIzoFNPt7JCKitsvXTQ5fNzl2PTsMS7enYu2+S3hiXSIWb0nBook90Dvc23SuIAh49scT+OloZrXnyVWp0e+trab7UokI70+sudmQXi/gye8TsfG4Yc+ofu198NmDfRx+NkTTe9fWIisrCwkJCQgPD8eiRYuQn5+PnJwc5OTkmJ0TGxuLgwcPAgAuXLiAhQsX4siRI0hPT8fevXsxYcIEODs7Y9y4cdYqldqo9YczoSzXItzHxWxKXL/2Pvh19iD4uMpQodWbQtHEPqHYOHsQNj05BOO6BTd5+leXEE+sfPDapqZf7b+ER74+gq8PpDfpeR3FZaVhqmKwlXf8FolE1/Yzyiqy6FpjU46bOgea7e4uFovw+ZQ+uKVHCLxcpHBXOKGdlzNevbULOga5IybAHff2C0fnEA8Eezpj4Z3d8Py4ThjZuW2EXiIiankBHgrMGdEB8qqZEReulOLZ9cdRqdMjo6AM4z/ejYkr9plCUZiPM165pTO+/F8/bHt6KGKD3M2eT6sT8NT3idh3vvpMsa/2XzKFIrEIOHixAD1e+wcTV+zDy7+eQkXVRriOxmrNFzZv3ozU1FSkpqYiNNR8Ebtx9p5Wq0VycjLKygxrLBQKBXbv3o2PPvoIhYWFCAwMxJAhQ7B3714EBPBbVmoeF6+UYurqg6ZW0TMGt68WcjoFe+D9CT3wv7WH4Ocmx/LJcYiL8K7p6ZpkWMcAvDi+E/45kwt3uRO2JuXh460puKdPmMVTvhzNtREj6wYjwLCf0e6UK4Z1Rv0bdo2yTIsNRw17DU2Nr74ze7S/G5bcZ1hoq9cL0AtCs+yTRERE1Fi+bnKs/V8/HE0vxOItKTifX4qYF/6qdt7108ONNs6+Ed8fzoCHwgnDYgPw0i+n8GtiNl777TT+nDMYekHAn6dykFFQho+2GPZxeu3WLgj1dsb0tYcBGALSwYsF0OoELLyzm/XfcDOzWjCaOnUqpk6dWuc5kZGRuH6JU0hICP78809rlUSEojINHlh1AJmFhj/Ko/xccU/f8BrPHRYbgD8eHww/dxkC3K033euhwVF4aHAUNJV69H9rC/KL1TiVrTQb+m6NMqr+G4S2QDAyjRhZ0IBh/ZEMlGt1iA1yx4CourcZEItFEIMjQUREZHsDonwxIMoXcicJ3vjP5rEAIHcSY2p8ZLXjMicxHhgQYbr/6i1dsC0pD0k5xfj5WBb+Pp1jtp420tcF9/cPh5NYhMeGRSNHqYaPqxSf7b6I7w4a1m9b40tla2rRfYyIbO39f84hs7Ac7grDLtT39q17ZKYlN0yTOYkRF+GDLWdzcSStsFUHI71eMHW/aW+lPYyu1y3UC4BhP6IKra5BjS5+q5oiMKl/OKe/ERGRw5k8IByns5RQV+rRP8oHXdt5ItBDAbEI9e7XCADerjI8mhCDdzYl4en1x03HxSLAXSHFJ/f3hrRqpsSzo2NNjxeWafHjkUzM+voIfpoVbzYV3d4xGFGbkVlYhnWHDOt3Vj7Qp9Gttq0pLsIbW87m4vClAsxA690XIre4AuVaHZzEIoR6W3/EKMRTAV9XGa6WanD2sgq96gmdmYVlOJ6phFgEjOkabPX6iIiImpvcSYIP7unZpOeYNigSm8/k4Gh6EQBDZ9XHh8dAU6mHq7zmGPHS+M44malEcm4x9p6/gnt8ap6ZY48YjKhN0Or0eOP3M9DqBMRH+9plKAJgGnJOzCiybSFWdrGqNWi4r0uLrMsRiUToFuqJHcn5OJGprDcY7UjOBwD0ifCBvzu7XhIRUdukkErw7YwB+HJfGnKUajwyNApSidg0UlQTTxcpvpzeDwcuFtTY0c6eMRhRq1emqcT/1hwydZd7epT97iHTJcQDYpGhZWauqgKBHtZtZW0rF6qm0UW1wDQ6o+6hXtiRnI/jDQidu1MMwWhwBz8rV0VERGTfFFIJHh4SbdE1gR4KhwtFgBXbdRPZi0V/n8P+CwVwkzvhk/t7IS6i7oX0tuQqd0JMgBsAGDqotVIXW3B9kVHvcC8AwJH0wjrPU1fqsLeqNemNDEZERERtBoMRtWonM5VYs/ciAGDJ/b1wc3f7//aiWzsvAMCJrNYfjOraUbu5GafPXbpahislNW8YDQA7k/NRXFGJQA85ulc1bSAiIqLWj8GIWq1KnR7zfz4BvQDc2iMEwzo6xl5Y11pLF9m2ECuyxYiRp7MUHapG445VLSKtya9V3ehu6R7S5E18iYiIyHEwGFGr9dPRTJzKUsFD4YQXb+5k63IazBiMTmYqzfb5ai20Oj3SCwyb60b5ubXoaxtboB+5ZD6d7lSWEsczilBcocWWqj0abu/VrkVrIyIiItti8wVqlQRBwOp/0wAAs4fHWHWD1ubWKdgDTmIRrpZqkFVUjlBvx+n/3xDpBWXQ6QU4SyUI9GjZjm9xEd74/nAGjl63zujAhau497P9uD6DRvu7oksL7mFFREREtscRI2qVFm9NQVJOMRRSMe7p4zj98wFD95fYYHcAdU/5clQpucUAgA6Bbi2+cWrv69qhl2t0AIC3/krCfwfmZg+P4aauREREbQyDEbU6ZZpKrNx1AQDw8s1d4OkitXFFlutT1Tnvv1O+WoOkHEMwuiHQvcVfO9rfFaHeztBU6rE7JR/JOcU4nlEEqUSE1dP6YvKAcLx6S2fc0Su0xWsjIiIi2+JUOmp1Np/JRZlGhwhfF9zXL8zW5TRKXIQ31uxNw8GLBXjz9zPQCQKeGx0LZ5nE1qU12bmqEaPYoJYPRiKRCCM7BWLN3jR8tf+SqflDQscADKu6ERERUdvEYEStzrqDGQCA23q2c9jpUP3bG0aMzlxW4cxlFQAgR1mBZZPjbFlWs0i24YgRAEzqH47vDqZjd8oV7E65YjpGREREbRun0lGrodcL+OFwBvZduAqxCLi3r2OOFgFAgIcCvao2JDX661QOXv/tDPR6x+1UV6HVIe2qoSNdRxuMGAFAh0B3fHRPT7hWjb5NGRiBBI4UERERtXkcMaJWQavTY9bXR7HlrKHV8t1xoQjxcrZxVU0zIS4Mx9KLEBfhja4hHli77xK++PciurbzwJ29HXMNzPn8Euj0ArxcpAhwb9mOdNcb2y0YQ27wh6pCi2BPx/6cEBERUfNgMKJW4buD6dhyNhcikWFa1Es3d7Z1SU12b98w9AjzxA2B7nASi+Asc8LyneexZFsq7uhlmCao1wsQO9AmpNdPo7P1NEdXuRNc5fwRSERERAb8q4DsUkZBGb47mI4dyfkI9XbGyM6BuLl7MDafyYVWJ+D2niFwkhhmgv5x4jJe/vU0AODlmztj2qD2tiy92YjFInQJ8TTdf3x4DL7YcxEXr5QiObcYq/ek4bcT2Xh8eAfMSoi2YaUNdzrbsF6qo43WFxERERHVhsGI7E52UTnGfLQLpVX7zJy5rMI/Z3Lx3I8nTOck56jw/LhO+O3EZcz9PhEA0N7PFff2bb2L6F3lToiP8cWO5HyM+Wi36fg7m5LgrnDC5AERNqyufpU6PX4/kQ0AiI/2tXE1REREROYYjMguCIKAv07l4FSWErtS8k2h6H+D2sPbRYrVe9NQUKoxnf/Z7ov4bPdF0/1hHf3x8X29WkU767rc2TsUO5LzTfc7BrojObcYL/5yCm5yJ9zeq50Nq6vbz8eykKtSw8dVhhGdAm1dDhEREZEZBiOyOnWlDoWlWvi7y5GaV4KsojLE+Lsj3NfFdM7bm5KwYucF032FVIwNswahc4gHAODBgZHYnZqPSF9XbDmbi0+2paJSL0AsAh4f3gGPDYuBzKn1N1m8uVsw1h/OwIGLBfhwYk+M7RqE1347jbX7LuHlX09h6A3+8HaV2brMalQVWiz48ywA4OEhUW3ivxURERE5FqsFo7S0NLzxxhvYtm0bcnJyEBISgsmTJ+OFF16ATFb/H26CIGDcuHHYtGkTfv75Z9x+++3WKpWs7LkfT+D3E5dxQ6A7zlbtySNzEmPhHd0gdRLDVSYxhaIhN/gj2EOByQMiTKEIADxdpLi5ewgAoGs7T8RFeGPt3jTMGByF/lFtZ1qWWCzCmmn9UKaphLtCCgB46ebO2H+hAMm5xfglMcsu11it3pOGojItYgLc8NCN9lcfERERkdWCUVJSEvR6PVasWIGYmBicOnUKM2bMQGlpKRYtWlTv9R999JHNu1ZR0/xx4jJ2JOfh10TDuhJjKAIATaUeT68/bnb+Xb1D8f7EHg167sEd/DG4g3/zFetAJGKRKRQBgJNEjMkDwvHSr6fx1f5LiPR1RTtv53o3UBUEAekFZfB1k8NN7gRBEHD4UiGi/Fzh62ZopV1coQUAs9ezlCAIWH/EsOnu48NjTE0ziIiIiOyJ1YLRmDFjMGbMGNP9qKgoJCcnY9myZfUGo8TERLz//vs4fPgwgoODrVWiXfjhUAaW7zqPnqFeePuu7nVOMdqRnIfvDqbj/v4RGHqDIRTkFVdAU6nHhfxS7E7Jx529Q9Ep2KPW52hOBaUaVOr0CPBQmB0XBAH7zl/FY98erXbNyE6BWPFAHB775ig2nc4xe2w6RxIa7dae7fDhlhRcyC/FtDWHoJCK8cecwYj2d6vx/IJSDeZ8dwx7Uq/AWSrBzKFRSLtSil8SsxHm44y/nhiCi/mlmLbmIDSVenx0b090a+cFuVQMD4UUhaUalGl1CPFU1PsFxqksFTILy+EslWBU5yBrvH0iIiKiJmvRNUZKpRI+Pj51nlNWVob7778fS5cuRVBQ6/sjSq8XIBIBJepK5BWrMf/nk9DpBVzIL0WpphKLJvSARCxCcUUlfk3Mwo0x/sgvUWPt3jRsS8oDAPx9OhdjuwahVKPDrnP5Zs+/as9FDIjyxbOjO6JXuHez1342R4V/U68gxMsZT6xLhE4vAAAifF2w8M5uGBjli6d/OI4Nx7JMx3uGeSHC1xXBngrc3rMdJGIRlj8Qhyslaqw/nIlVey5g9rAYs6lzZBlPZykW3tkNT32fCIlIhGJ1JcYt3o1J/SPwxMgO2Ho2Fwv+OAsniQgzBkfh890XkaOqAACUa3X4aEuK6bkyCsrR9ZW/zZ7/f2sOm/4tFgFV/9kBAB4KJ4zqEoRHE6IRVUMQ23nO8LkdcoNfq2+OQURERI5LJAiCUP9pTZeamoq4uDgsWrQIM2bMqPW8mTNnQqfT4fPPPzcUKBLVucZIrVZDrVab7qtUKoSFhUGpVMLDw77+0L54pRRTVx/Epatl1R6TScTQ6PQAAJEIEItEptBRH6lEBJlEDA9nKS4rDX/serlIsemJIQjyVNRzdd1+OZaFFbsuoL2fC/aev4qiMm2Drw1wl+Oje3siPtqvSTWQZS4ry/HIV0dwPFNZ53m+rjKsmtoX7/yVhFxVBdp5O6NHqBc+2Z4KwPA57BXmBVe5E05lKVFYz397d4UTfn/8RkT4upodn7r6IHYk5+PlmzvjfxwVJCIiohakUqng6enZoGxg8YjRvHnz8M4779R5ztmzZxEbG2u6n5WVhTFjxmDChAl1hqKNGzdi27ZtOHbsWIPrWbhwIV577bUGn9+S1JU6lKp1kEpEkDtJMPvbo9VCkaezFD/NikdGQRlmfnUEGp0eggDorsurfm4y3Nw9BFPiI9HezxXbk/PwwT/n4CyV4JVbO+OGQHeIYFhrkppXjFlfH0VKXgnuXr4XIZ7OmDQgHKO7BEEhtezb+uIKLV7+9RRUFZVm64Out/KBOFRU6rHo72SkF1x7by+O74SHBkdZ9HrUPII9nfHLY4Ow/nAmnvvJsPeTs1SCUV0CIRaJcCitAEVlWrxzV3f0DPPCdw8PMLve01mKAxev4o3buyLY09l0vFyjw7GMQizfeQHtvBR45ZYuUFVo8en281izNw3FFZWY99NJfDqpt6kznl4v4OilQgBAn8jmHcEkIiIiak4Wjxjl5+fj6tWrdZ4TFRVl6jyXnZ2NhIQEDBgwAGvWrIFYXPsamieffBIff/yx2Tk6nQ5isRiDBw/Gjh07ql1jzyNGG49nY8531UNeoIccM4dEw8tFip5hXqbpRxevlEKr00MqESO/WI0eYZ5wEoshEVvWhGJPyhVMXnWg2vE5w2Pw1E031LomJL9Yja1nc3HxailCPJ3xw+EMnM6+Foh6hnnhh5kDsfVsLjYcy8IDAyIwpGqtU2GpBmdzVPB0lqJMo0OfCG82z7ADp7OV8HKRNWgtUFOcvazC2MXXNp399qH+iI/xQ2peCUZ+sBMKqRgnXx0NKRsvEBERUQuyZMTIqlPpsrKyMGzYMMTFxeHrr7+GRFL3iEVOTg6uXLlidqxbt25YvHgxbrnlFrRvX/80HEvevLXVFIxmDo3C/LGdrPq6giDg/346gR8OZ1Z7rFe4F9ZM7YditRbzN5zEiUwlbu0RgpgAN3yyPRX5xWqz871dpFg6qTei/Nzg7SqF3IlrRKhmty39F8czigAY1pZtfzoBv53IxhPrEtEr3As/PzrItgUSERFRm2MXwSgrKwsJCQmIiIjA2rVrzUKRsalCVlYWRowYgS+//BL9+vWrucB61hj9lz0FI+P/tMXqSijLtMgrrkDPMG+LR4Aaq7BUAw9nKTSVerz/TzI+33MRAODjKkOFVocyja7aNU5iEbxcpCgq0yLcxwXLH4irt+0zEQBkFJRhe3Ie3vzjLDSVenz7UH/sPJePFbsuYPKAcLx5ezdbl0hERERtjFXXGDXU5s2bkZqaitTUVISGhpo9ZgwMWq0WycnJKCur3oygNTBOXfJQSOGhkCLMx6VFX9+4zsNZJsGLN3fGXXGh+N+aQ6YGDZ2CPRDl74o/TlxGOy9nPDwkChP6hMJF5oRKnZ77zZBFwnxc8ODASCTnFOObA+m4//Nr0zm7hHjasDIiIiKi+rVYV7qWYk8jRvaoVF2Jg2kFcJM7oWeYF5zEIpzKUiE6wBUushbt3k6t1OlsJcZ/vMd031UmwZ9PDK7WrY6IiIjI2uxixIjsk6vcCcM6Bpgd6xbKb/Op+XQJ8cStPUJw4OJVPDXyBozsHAg/N7mtyyIiIiKqE4MRETW7j+/rZesSiIiIiCzCRSRERERERNTmMRgREREREVGbx2BERERERERtHoMRERERERG1eQxGRERERETU5jEYERERERFRm8dgREREREREbR6DERERERERtXmtboNXQRAAACqVysaVEBERERGRLRkzgTEj1KXVBaPi4mIAQFhYmI0rISIiIiIie1BcXAxPT886zxEJDYlPDkSv1yM7Oxvu7u4QiUS2LgcqlQphYWHIyMiAh4eHrcshB8DPDFmKnxmyFD8zZCl+ZshS9vKZEQQBxcXFCAkJgVhc9yqiVjdiJBaLERoaausyqvHw8OAPErIIPzNkKX5myFL8zJCl+JkhS9nDZ6a+kSIjNl8gIiIiIqI2j8GIiIiIiIjaPAYjK5PL5XjllVcgl8ttXQo5CH5myFL8zJCl+JkhS/EzQ5ZyxM9Mq2u+QEREREREZCmOGBERERERUZvHYERERERERG0egxEREREREbV5DEZERERERNTmMRhZ0dKlSxEZGQmFQoH+/fvj4MGDti6JbGThwoXo27cv3N3dERAQgNtvvx3Jyclm51RUVOCxxx6Dr68v3NzccNdddyE3N9fsnPT0dIwfPx4uLi4ICAjAs88+i8rKypZ8K2QDb7/9NkQiEZ588knTMX5eqCZZWVmYPHkyfH194ezsjG7duuHw4cOmxwVBwMsvv4zg4GA4Oztj5MiRSElJMXuOgoICTJo0CR4eHvDy8sL06dNRUlLS0m+FWoBOp8NLL72E9u3bw9nZGdHR0XjjjTdwfV8ufmbatl27duGWW25BSEgIRCIRfvnlF7PHm+vzceLECQwePBgKhQJhYWF49913rf3WaiaQVaxbt06QyWTCF198IZw+fVqYMWOG4OXlJeTm5tq6NLKB0aNHC6tXrxZOnTolJCYmCuPGjRPCw8OFkpIS0zmPPPKIEBYWJmzdulU4fPiwMGDAACE+Pt70eGVlpdC1a1dh5MiRwrFjx4Q///xT8PPzE+bPn2+Lt0Qt5ODBg0JkZKTQvXt34YknnjAd5+eF/qugoECIiIgQpk6dKhw4cEC4cOGC8Pfffwupqammc95++23B09NT+OWXX4Tjx48Lt956q9C+fXuhvLzcdM6YMWOEHj16CPv37xd2794txMTECPfdd58t3hJZ2YIFCwRfX1/h999/Fy5evCisX79ecHNzExYvXmw6h5+Ztu3PP/8UXnjhBWHDhg0CAOHnn382e7w5Ph9KpVIIDAwUJk2aJJw6dUr47rvvBGdnZ2HFihUt9TZNGIyspF+/fsJjjz1muq/T6YSQkBBh4cKFNqyK7EVeXp4AQNi5c6cgCIJQVFQkSKVSYf369aZzzp49KwAQ9u3bJwiC4YeTWCwWcnJyTOcsW7ZM8PDwENRqdcu+AWoRxcXFQocOHYTNmzcLQ4cONQUjfl6oJv/3f/8n3HjjjbU+rtfrhaCgIOG9994zHSsqKhLkcrnw3XffCYIgCGfOnBEACIcOHTKd89dffwkikUjIysqyXvFkE+PHjxf+97//mR278847hUmTJgmCwM8MmftvMGquz8enn34qeHt7m/1u+r//+z+hY8eOVn5H1XEqnRVoNBocOXIEI0eONB0Ti8UYOXIk9u3bZ8PKyF4olUoAgI+PDwDgyJEj0Gq1Zp+Z2NhYhIeHmz4z+/btQ7du3RAYGGg6Z/To0VCpVDh9+nQLVk8t5bHHHsP48ePNPhcAPy9Us40bN6JPnz6YMGECAgIC0KtXL3z22Wemxy9evIicnByzz42npyf69+9v9rnx8vJCnz59TOeMHDkSYrEYBw4caLk3Qy0iPj4eW7duxblz5wAAx48fx549ezB27FgA/MxQ3Zrr87Fv3z4MGTIEMpnMdM7o0aORnJyMwsLCFno3Bk4t+mptxJUrV6DT6cz+IAGAwMBAJCUl2agqshd6vR5PPvkkBg0ahK5duwIAcnJyIJPJ4OXlZXZuYGAgcnJyTOfU9JkyPkaty7p163D06FEcOnSo2mP8vFBNLly4gGXLlmHu3Ll4/vnncejQIcyZMwcymQxTpkwx/Xev6XNx/ecmICDA7HEnJyf4+Pjwc9MKzZs3DyqVCrGxsZBIJNDpdFiwYAEmTZoEAPzMUJ2a6/ORk5OD9u3bV3sO42Pe3t5Wqb8mDEZELeyxxx7DqVOnsGfPHluXQnYqIyMDTzzxBDZv3gyFQmHrcshB6PV69OnTB2+99RYAoFevXjh16hSWL1+OKVOm2Lg6skc//PADvvnmG3z77bfo0qULEhMT8eSTTyIkJISfGWqTOJXOCvz8/CCRSKp1iMrNzUVQUJCNqiJ7MHv2bPz+++/Yvn07QkNDTceDgoKg0WhQVFRkdv71n5mgoKAaP1PGx6j1OHLkCPLy8tC7d284OTnByckJO3fuxMcffwwnJycEBgby80LVBAcHo3PnzmbHOnXqhPT0dADX/rvX9bspKCgIeXl5Zo9XVlaioKCAn5tW6Nlnn8W8efNw7733olu3bnjggQfw1FNPYeHChQD4maG6Ndfnw55+XzEYWYFMJkNcXBy2bt1qOqbX67F161YMHDjQhpWRrQiCgNmzZ+Pnn3/Gtm3bqg0Zx8XFQSqVmn1mkpOTkZ6ebvrMDBw4ECdPnjT7AbN582Z4eHhU+2OIHNuIESNw8uRJJCYmmm59+vTBpEmTTP/m54X+a9CgQdW2ATh37hwiIiIAAO3bt0dQUJDZ50alUuHAgQNmn5uioiIcOXLEdM62bdug1+vRv3//FngX1JLKysogFpv/KSiRSKDX6wHwM0N1a67Px8CBA7Fr1y5otVrTOZs3b0bHjh1bdBodALbrtpZ169YJcrlcWLNmjXDmzBnh4YcfFry8vMw6RFHbMWvWLMHT01PYsWOHcPnyZdOtrKzMdM4jjzwihIeHC9u2bRMOHz4sDBw4UBg4cKDpcWP75VGjRgmJiYnCpk2bBH9/f7ZfbiOu70onCPy8UHUHDx4UnJychAULFggpKSnCN998I7i4uAhff/216Zy3335b8PLyEn799VfhxIkTwm233VZja91evXoJBw4cEPbs2SN06NCBrZdbqSlTpgjt2rUztevesGGD4OfnJzz33HOmc/iZaduKi4uFY8eOCceOHRMACB988IFw7Ngx4dKlS4IgNM/no6ioSAgMDBQeeOAB4dSpU8K6desEFxcXtutubZYsWSKEh4cLMplM6Nevn7B//35bl0Q2AqDG2+rVq03nlJeXC48++qjg7e0tuLi4CHfccYdw+fJls+dJS0sTxo4dKzg7Owt+fn7C008/LWi12hZ+N2QL/w1G/LxQTX777Teha9euglwuF2JjY4WVK1eaPa7X64WXXnpJCAwMFORyuTBixAghOTnZ7JyrV68K9913n+Dm5iZ4eHgI06ZNE4qLi1vybVALUalUwhNPPCGEh4cLCoVCiIqKEl544QWztsn8zLRt27dvr/HvlylTpgiC0Hyfj+PHjws33nijIJfLhXbt2glvv/12S71FMyJBuG57YyIiIiIiojaIa4yIiIiIiKjNYzAiIiIiIqI2j8GIiIiIiIjaPAYjIiIiIiJq8xiMiIiIiIiozWMwIiIiIiKiNo/BiIiojTt06BDi4+Ph6uoKkUiExMREvPrqqxCJRGbnRUZGYurUqbYpshGaq94dO3ZAJBJhx44dTX6u5lDTfxsiImo6J1sXQEREtqPVajFhwgQoFAp8+OGHcHFxQURERIOuPXPmDH744QdMnToVkZGR1i2UiIjIyhiMiIjasPPnz+PSpUv47LPP8NBDD5mOv/jii5g3b16d1545cwavvfYaEhISWnUwGjJkCMrLyyGTyWxdChERWRGn0hERtWF5eXkAAC8vL7PjTk5OUCgUNqgIKC0ttcnr1kYsFkOhUEAs5q9MIqLWjD/liYjaqKlTp2Lo0KEAgAkTJkAkEiEhIQFA/etY1qxZgwkTJgAAhg0bBpFIVG0dzl9//YXBgwfD1dUV7u7uGD9+PE6fPl2tBjc3N5w/fx7jxo2Du7s7Jk2aBADQ6/X46KOP0KVLFygUCgQGBmLmzJkoLCw0ew5BEPDmm28iNDQULi4uGDZsWLXXqcu6desQFxcHd3d3eHh4oFu3bli8eLHp8drWGC1duhRRUVFwdnZGv379sHv3biQkJJj+N7z+2h9++AELFixAaGgoFAoFRowYgdTUVLPn2717NyZMmIDw8HDI5XKEhYXhqaeeQnl5eYPfCxERNR6n0hERtVEzZ85Eu3bt8NZbb2HOnDno27cvAgMDG3TtkCFDMGfOHHz88cd4/vnn0alTJwAw/d+vvvoKU6ZMwejRo/HOO++grKwMy5Ytw4033ohjx46ZTb2rrKzE6NGjceONN2LRokVwcXEx1bdmzRpMmzYNc+bMwcWLF/HJJ5/g2LFj+PfffyGVSgEAL7/8Mt58802MGzcO48aNw9GjRzFq1ChoNJp638fmzZtx3333YcSIEXjnnXcAAGfPnsW///6LJ554otbrli1bhtmzZ2Pw4MF46qmnkJaWhttvvx3e3t4IDQ2tdv7bb78NsViMZ555BkqlEu+++y4mTZqEAwcOmM5Zv349ysrKMGvWLPj6+uLgwYNYsmQJMjMzsX79+nrfCxERNZFARERt1vbt2wUAwvr1682Ov/LKK8J/f0VEREQIU6ZMMd1fv369AEDYvn272XnFxcWCl5eXMGPGDLPjOTk5gqenp9nxKVOmCACEefPmmZ27e/duAYDwzTffmB3ftGmT2fG8vDxBJpMJ48ePF/R6vem8559/XgBgVm9NnnjiCcHDw0OorKys9Rzj/0bG96lWqwVfX1+hb9++glarNZ23Zs0aAYAwdOjQatd26tRJUKvVpuOLFy8WAAgnT540HSsrK6v22gsXLhREIpFw6dIl07Ga/tsQEVHTcSodERE1q82bN6OoqAj33Xcfrly5YrpJJBL0798f27dvr3bNrFmzzO6vX78enp6euOmmm8yeIy4uDm5ubqbn2LJlCzQaDR5//HGzqX9PPvlkg2r18vJCaWkpNm/e3OD3d/jwYVy9ehUzZsyAk9O1iReTJk2Ct7d3jddMmzbNrHnD4MGDAQAXLlwwHXN2djb9u7S0FFeuXEF8fDwEQcCxY8caXB8RETUOp9IREVGzSklJAQAMHz68xsc9PDzM7js5OVWbfpaSkgKlUomAgIAan8PYNOLSpUsAgA4dOpg97u/vX2tIud6jjz6KH374AWPHjkW7du0watQoTJw4EWPGjKn1GuNrxsTEVHsftXXnCw8PN7tvrO369VLp6el4+eWXsXHjxmrrqJRKZb3vhYiImobBiIiImpVerwdgWGcUFBRU7fHrR1kAQC6XV+v4ptfrERAQgG+++abG1/D392+WWgMCApCYmIi///4bf/31F/766y+sXr0aDz74INauXdssrwEAEomkxuOCIAAAdDodbrrpJhQUFOD//u//EBsbC1dXV2RlZWHq1Kmm/02JiMh6GIyIiKhRautaFx0dDcAQOkaOHNmo546OjsaWLVswaNAgsylm/2XcjDYlJQVRUVGm4/n5+dVGXWojk8lwyy234JZbboFer8ejjz6KFStW4KWXXqo2KnT9a6ampmLYsGGm45WVlUhLS0P37t0b9LrXO3nyJM6dO4e1a9fiwQcfNB23ZIofERE1DdcYERFRo7i6ugIAioqKzI6PHj0aHh4eeOutt6DVaqtdl5+fX+9zT5w4ETqdDm+88Ua1xyorK02vOXLkSEilUixZssQ0+gIAH330UYPew9WrV83ui8ViU7BRq9U1XtOnTx/4+vris88+Q2Vlpen4N9980+Aw9l/GEaXr34MgCGZtw4mIyLo4YkRERI3Ss2dPSCQSvPPOO1AqlZDL5Rg+fDgCAgKwbNkyPPDAA+jduzfuvfde+Pv7Iz09HX/88QcGDRqETz75pM7nHjp0KGbOnImFCxciMTERo0aNglQqRUpKCtavX4/Fixfj7rvvhr+/P5555hksXLgQN998M8aNG4djx47hr7/+gp+fX73v4aGHHkJBQQGGDx+O0NBQXLp0CUuWLEHPnj1Nrcf/SyaT4dVXX8Xjjz+O4cOHY+LEiUhLS8OaNWsQHR1d5/5PtYmNjUV0dDSeeeYZZGVlwcPDAz/99FOjgxYREVmOwYiIiBolKCgIy5cvx8KFCzF9+nTodDps374dAQEBuP/++xESEoK3334b7733HtRqNdq1a4fBgwdj2rRpDXr+5cuXIy4uDitWrMDzzz9vam4wefJkDBo0yHTem2++CYVCgeXLl2P79u3o378//vnnH4wfP77e15g8eTJWrlyJTz/9FEVFRQgKCsI999yDV199tdq6p+vNnj0bgiDg/fffxzPPPIMePXpg48aNmDNnDhQKRYPe3/WkUil+++03zJkzBwsXLoRCocAdd9yB2bNno0ePHhY/HxERWU4kXD9uT0RERI2i1+vh7++PO++8E5999pmtyyEiIgtxjREREZGFKioq8N/vFb/88ksUFBQgISHBNkUREVGTcMSIiIjIQjt27MBTTz2FCRMmwNfXF0ePHsWqVavQqVMnHDlyxGwzVyIicgxcY0RERGShyMhIhIWF4eOPP0ZBQQF8fHzw4IMP4u2332YoIiJyUBwxIiIiIiKiNo9rjIiIiIiIqM1jMCIiIiIiojaPwYiIiIiIiNq8Fmm+sHTpUrz33nvIyclBjx49sGTJEvTr16/Gc9esWVNt8z+5XI6KiooGvZZer0d2djbc3d0btfs4ERERERG1DoIgoLi4GCEhIXVu3A20QDD6/vvvMXfuXCxfvhz9+/fHRx99hNGjRyM5ORkBAQE1XuPh4YHk5GTTfUsCTnZ2NsLCwppcNxERERERtQ4ZGRkIDQ2t8xyrB6MPPvgAM2bMMI0CLV++HH/88Qe++OILzJs3r8ZrRCIRgoKCGvV67u7uAAxv3sPDo3FFExERERGRw1OpVAgLCzNlhLpYNRhpNBocOXIE8+fPNx0Ti8UYOXIk9u3bV+t1JSUliIiIgF6vR+/evfHWW2+hS5cuDXpN4+iSh4cHgxERERERETVoBppVmy9cuXIFOp0OgYGBZscDAwORk5NT4zUdO3bEF198gV9//RVff/019Ho94uPjkZmZWeP5arUaKpXK7EZERERERGQJu+tKN3DgQDz44IPo2bMnhg4dig0bNsDf3x8rVqyo8fyFCxfC09PTdOP6IiIiIiIispRVg5Gfnx8kEglyc3PNjufm5jZ4DZFUKkWvXr2Qmppa4+Pz58+HUqk03TIyMppcNxERERERtS1WDUYymQxxcXHYunWr6Zher8fWrVsxcODABj2HTqfDyZMnERwcXOPjcrnctJ6I64qIiIiIiKgxrN6Vbu7cuZgyZQr69OmDfv364aOPPkJpaampS92DDz6Idu3aYeHChQCA119/HQMGDEBMTAyKiorw3nvv4dKlS3jooYesXSoREREREbVRVg9G99xzD/Lz8/Hyyy8jJycHPXv2xKZNm0wNGdLT0802WyosLMSMGTOQk5MDb29vxMXFYe/evejcubO1SyUiIiIiojZKJAiCYOsimpNKpYKnpyeUSiWn1RERERERtWGWZAO760pHRFSfzMIy9FuwBXO+O4ZW9t0OERER2QiDERE5nE93nEdesRobj2dje3KercshIiKiVoDBiIgcil4vYGNitun+Xydr3iyaiIiIyBIMRkTkUDILy1GirjTdT84ttmE1RERE1FowGBGRQzEGIReZxHA/pxg6PdcZERERUdMwGBGRQzlXFYxGdgqEQiqGulKPS1dLbVwVEREROToGIyJyKClVwSg22B1Rfm4AgDQGIyIiImoiBiMicijZygoAQJi3C4I9FQCAHKXaliURERFRK8BgREQOJacqGAV7KhBoDEaqCluWRERERK0AgxEROQxBEEzBKMhTgSAPQzDKVTIYERERUdMwGBGRwygo1UCj00MkAgLcrwUjjhgRERFRUzEYEZHDuFw1MuTnJofMSWyaSpfLYERERERNxGBERA7j+vVFADhiRERERM2GwYiIHEZesaH7XIC7HADg5yYDABSVaVGp09usLiIiInJ8DEZE5DAKSg3ByMfVEIg8naWmx5TlWpvURERERK0DgxEROYyrpRoAgI+rYcTISSI2haPCMo3N6iIiIiLHx2BERA6joCoY+VaNGAGAt4sxGHHEiIiIiBqPwYiIHMbVEuOI0XXBqOrfxtBERERE1BgMRkTkMIxT6Xzdrh8xMjZgYDAiIiKixmMwIiKHYWy+4Fu1xgi4FowKSjmVjoiIiBqPwYiIHIIgCKbpcj5u1dcYccSIiIiImoLBiIgcQom6ElqdAOA/zRe4xoiIiIiaAYMRETmEoqquc3InMRRSiem4l3HEiPsYERERURMwGBGRQ1BVGIKPx3WbugKAu8Jwv7iCwYiIiIgaj8GIiByCqrwSAOChcDI7brxvfJyIiIioMVokGC1duhSRkZFQKBTo378/Dh482KDr1q1bB5FIhNtvv926BRKR3VNWTZXzrG3ESM0RIyIiImo8qwej77//HnPnzsUrr7yCo0ePokePHhg9ejTy8vLqvC4tLQ3PPPMMBg8ebO0SicgB1DaVztOZI0ZERETUdFYPRh988AFmzJiBadOmoXPnzli+fDlcXFzwxRdf1HqNTqfDpEmT8NprryEqKsraJRKRA1DVMmLkcd0aI0EQWrwuIiIiah2sGow0Gg2OHDmCkSNHXntBsRgjR47Evn37ar3u9ddfR0BAAKZPn27N8ojIgRiDkTEIGRmn0ukFoFSja/G6iIiIqHVwqv+Uxrty5Qp0Oh0CAwPNjgcGBiIpKanGa/bs2YNVq1YhMTGxQa+hVquhVqtN91UqVaPrJSL7VdsaI4VUDKlEBK1OgKpcCze5VX+sERERUStlV13piouL8cADD+Czzz6Dn59fg65ZuHAhPD09TbewsDArV0lEtqCqqOpK52wefEQi0XUtu7nOiIiIiBrHql+t+vn5QSKRIDc31+x4bm4ugoKCqp1//vx5pKWl4ZZbbjEd0+v1hkKdnJCcnIzo6Giza+bPn4+5c+ea7qtUKoYjolaotjVGgKFld0GpxtSggYiIiMhSVg1GMpkMcXFx2Lp1q6nltl6vx9atWzF79uxq58fGxuLkyZNmx1588UUUFxdj8eLFNQYeuVwOuVxulfqJyH4oa1ljBHCTVyIiImo6q0/Gnzt3LqZMmYI+ffqgX79++Oijj1BaWopp06YBAB588EG0a9cOCxcuhEKhQNeuXc2u9/LyAoBqx4mobTGOBtU4YsSW3URERNREVg9G99xzD/Lz8/Hyyy8jJycHPXv2xKZNm0wNGdLT0yEW29VSJyKyQ6YRoxqCkavM8KOsRM1gRERERI3TIu2bZs+eXePUOQDYsWNHndeuWbOm+QsiIodjHA2qacTI2ImulMGIiIiIGolDNURk9zSVepRrDXsU1bTGyEUuAcB9jIiIiKjxGIyIyO5d323OTVF9oNuVI0ZERETURAxGRGT3jOuL3BVOkIhF1R43rjEq0zAYERERUeMwGBGR3VPV0aobuDZiVKLmVDoiIiJqHAYjIrJ7qoraGy8AgKvMsMaojFPpiIiIqJEYjIjI7l1r1V1zI81rI0YMRkRERNQ4DEZEZPeMU+lqHTGq6kpXxq50RERE1EgMRkRk94xd6WpdYyRjVzoiIiJqGgYjIrJ7JVVrjGpq1Q1c166bXemIiIiokRiMiMjuGdcOucvrCUbsSkdERESNxGBERHav3hGjqq50pZpKCILQYnURERFR68FgRER2zzhi5FrPiJEgAOVajhoRERGR5RiMiMjuGYORWy3ByFkqMf2b0+mIiIioMRiMiMjumdYY1TKVTiwWXZtOx850RERE1AgMRkRk90xrjOQ1t+sG2JmOiIiImobBiIjs3rU1RpJaz2FnOiIiImoKBiMisnvX2nXXNWJ0rTMdERERkaUYjIjIrun0Aso0hlGg2tp1A4CLzDhixGBERERElmMwIiK7dv0IUF1T6Ywd68o4lY6IiIgagcGIiOyasfGCTCKG3Kn2YORS1ZWuhCNGRERE1AgMRkRk10x7GNUxjQ64bsSIa4yIiIioERiMiMiuNaQjHXBtjVEJp9IRERFRIzAYEZFda8geRobHucErERERNR6DERHZtWutuuueSufCDV6JiIioCRiMiMiumUaM6lljdG2DVwYjIiIishyDERHZtWtrjOoJRlVd6Yx7HhERERFZokWC0dKlSxEZGQmFQoH+/fvj4MGDtZ67YcMG9OnTB15eXnB1dUXPnj3x1VdftUSZRGSHTF3p6gtGcmPzBY4YERERkeWsHoy+//57zJ07F6+88gqOHj2KHj16YPTo0cjLy6vxfB8fH7zwwgvYt28fTpw4gWnTpmHatGn4+++/rV0qEdkh0xqjeqbSGfcxKueIERERETWC1YPRBx98gBkzZmDatGno3Lkzli9fDhcXF3zxxRc1np+QkIA77rgDnTp1QnR0NJ544gl0794de/bssXapRGSHTFPpZA0LRpxKR0RERI1h1WCk0Whw5MgRjBw58toLisUYOXIk9u3bV+/1giBg69atSE5OxpAhQ2o8R61WQ6VSmd2IqPVoaPMFZ6lxg1cGIyIiIrKcVYPRlStXoNPpEBgYaHY8MDAQOTk5tV6nVCrh5uYGmUyG8ePHY8mSJbjppptqPHfhwoXw9PQ03cLCwpr1PRCRbTW4XbdpKh3XGBEREZHl7LIrnbu7OxITE3Ho0CEsWLAAc+fOxY4dO2o8d/78+VAqlaZbRkZGyxZLRFbV0K50pql0Wh0EQbB6XURERNS61P2XRhP5+flBIpEgNzfX7Hhubi6CgoJqvU4sFiMmJgYA0LNnT5w9exYLFy5EQkJCtXPlcjnkcnmz1k1E9qPBU+mqgpEgAOpKPRRSidVrIyIiotbDqiNGMpkMcXFx2Lp1q+mYXq/H1q1bMXDgwAY/j16vh1qttkaJRGTnGtqu2+W65gzc5JWIiIgsZdURIwCYO3cupkyZgj59+qBfv3746KOPUFpaimnTpgEAHnzwQbRr1w4LFy4EYFgz1KdPH0RHR0OtVuPPP//EV199hWXLllm7VCKyQ6UNbNctEYsgdxJDXalHmUYH35YojoiIiFoNqweje+65B/n5+Xj55ZeRk5ODnj17YtOmTaaGDOnp6RCLrw1clZaW4tFHH0VmZiacnZ0RGxuLr7/+Gvfcc4+1SyUiO1TcwDVGgGGdkbpSj3ItO9MRERGRZURCK1ulrFKp4OnpCaVSCQ8PD1uXQ0RNoK7UoeOLmwAAx18ZBU9naZ3nD3p7G7KKyvHLY4PQM8yrBSokIiIie2ZJNrDLrnRERABQqr428lPfGiPgWgOGMrbsJiIiIgsxGBGR3TKuL3KWSiARi+o9/9peRpxKR0RERJax+hojIqLGKm5gq24jZ6lxxIjBiGzrTLYKPx7JxMmsIhSVaRHh64JbeoTg5u4hDQr5RETU8hiMiMhuGVt1uzdgGh3AESOyvVxVBd784yx+O55tdjwlrwRbzuZh7d40LH8gDgHuChtVSEREtWEwIiK7VWpBRzrg2l5GXGNEtnDgwlU8+s1RXC3VQCwCxnYNxqgugfBxleFwWiG+2HMRR9OLcO/K/fhuxgAEejAcERHZEwYjIrJbxQ3c3NXIOGJUyhEjamHfHLiEV349jUq9gE7BHlg0oTu6hHiaHh/cwR939GqH+z/bjwv5pXho7WH8NCseMicu9SUishf8iUxEdqvEwjVGnEpHtrBsx3m88PMpVOoF3NojBBtmxZuFIqNIP1d8P3MgvF2kOJmlxKJ/km1QLRER1YbBiIjsVqmFa4ycTVPpGIyoZSzekoJ3NiUBAOYMj8Hie3ua2sbXJMzHBe/c1R0AsHLXBRxLL2yROomIqH4MRkRkt4otXmNUNWKk5Rojsr6Vu87jwy3nAADPju6IuaM6QiSqv+PcqC5BuKt3KADg9d/PoJXts05E5LAYjIjIbjV2Kh1HjMjavj+Ujrf+NIwUPTu6Ix4bFmPR9c+N6QgXmQTH0ovw24nL1iiRiIgsxGBERHarRK0F0PDmC84MRtQCNp26jPkbTgIAZg6JwqMJ0RY/R6CHAo8MNVy3eMs56PUcNSIisjUGIyKyW6VqQ8CxtCsdmy+QtRy5VIg56xKhF4B7+4Zh3tjYBk2fq8m0QZHwUDjhfH4pNp3OaeZKiYjIUgxGRGS3LG3X7SzlPkZkPRkFZXj4y8PQVOoxslMAFtzRrdGhCADcFVJMjY8EACzdnsq1RkRENsZgRER2q6Siaiod1xiRjakqtJi+9hCulmrQOdgDi+/tBYm48aHIaNqg9lBIxTidrcKhNHaoIyKyJQYjIrJbjZ5Kp2Uwouaj1wt4al0izuWWINBDjlVT+zS4U2J9vF1luL1nOwDAl/vSmuU5iYiocRiMiMhulVg4lc6lah8jY6Aiag7Ldp7H1qQ8yJzE+PzBvgj2dG7W539gYAQAYNOpHOSpKpr1uYmIqOEYjIjIbhU3cipdOdcYUTPZe/4K3v8nGQDwxm1d0C3Us9lfo0uIJ/pEeKNSL+Dbg+nN/vxERNQwDEZEZJcEQWjEiFHVGiOtjgvZqcmUZVo89b2hA93dcaGY2CfMaq9lHDX69kA6tDq91V6HiIhqx2BERHapQquHcWsXS/cxEgRAXck/LqlpXtl4CrkqNaL8XPHGbV2b1IGuPmO7BsPPTY68YjW2J+VZ7XWIiKh2DEZEZJeKqzZ3FYmujQTVx7jGCGBnOmqav05exi+J2RCLgPcn9jCFbmuROYlxV29DE4YfDmda9bWIiKhmDEZEZJdKKq5No2voN/USsQgyJ8OPNe5lRI2lLNPixV9OAQBmJUSjV7h3i7zuhD6hAIDtyXlswkBEZAMMRkRklyxt1W10rQEDR4yocd7fnIyrpRrEBLjhiRE3tNjrxgS4o3e4F3R6ARuOZbXY6xIRkQGDERHZJeNUOouDkZSbvFLjncpS4uv9lwAAr9/axTQC2VLu6Wto8PDD4Qw2ECEiamEMRkRkl0xT6RrYqtvIuBaEwYgsJQgCXvr1FPQCcEuPEMTH+LV4DeO7h8BZKsGF/FIcuVTY4q9PRNSWMRgRkV2ytFW3kbEBA9cYkaX+PJmDY+lFcJFJ8OL4TjapwU3uhPHdgwEYRo2IiKjltEgwWrp0KSIjI6FQKNC/f38cPHiw1nM/++wzDB48GN7e3vD29sbIkSPrPJ+IWqfSRgcjjhiR5bQ6Pd77OwkAMGNwFAI9FDarxTid7vcTl01fEBARkfVZPRh9//33mDt3Ll555RUcPXoUPXr0wOjRo5GXV/M+DTt27MB9992H7du3Y9++fQgLC8OoUaOQlcWFqERtSXETgxGbL5Al1h3KQNrVMvi6/j979x3eZLn+AfybpBmd6Z4U2rJKWQUKpWylioIDF+BBRlVc4FHx+FOOR3CDgohHEQRFPS5wD5ZiZVMoFMossy0tbdNBR9KVpMn7+yNNoFKgI2mS9vu5rlzKm3fcKS9p7tzPcz8yzBoVZddY4rr4INLfHdU6AzYeKbBrLEREHYnNE6OlS5di1qxZSEpKQkxMDFauXAk3NzesWbOm0f2/+uorPPHEE4iNjUV0dDQ+/vhjGI1GJCcn2zpUInIg5jlG7hxKRzZWravDe3+eAQD8c2z3Zifj1iYSiSytuzmcjoio7dg0MdLpdEhLS0NiYuKlC4rFSExMREpKSpPOUV1dDb1eD19f30af12q1UKvVDR5E5PzMQ+k8W9p8Qc+KETXN1/tyUFKpRScfV9w/pLO9wwEA3DuwEyRiEQ6cL8PZokp7h0NE1CHYNDEqKSmBwWBAUFBQg+1BQUFQqVRNOsfzzz+P0NDQBsnV5RYuXAilUml5hIeHtzpuIrI/DqWjtlCrN+CjHZkAgDk3dGvz9txXE+ilwJgeAQCA79JYNSIiaguO8RvgKhYtWoS1a9fip59+gkLR+ETYefPmoaKiwvLIzeUvEKL2oKVD6dium5pj3f5cFGu0CPN2xd0DO9k7nAYm1Tdh+CEtD3qD0c7REBG1fzYdSO3v7w+JRILCwsIG2wsLCxEcHHzNY5csWYJFixbhzz//RL9+/a66n1wuh1wut0q8ROQ4qnQtG0rnJjXPMWJiRNemrTNg5fZzAIDHRkc5TLXI7MboQPh7yFFSqUVyRhFu6XPt35tERNQ6Nv0tIJPJMGjQoAaNE8yNFBISEq563Ntvv43XXnsNmzdvRlxcnC1DJCIHZVngtcVD6dh8ga7th7Q8FFTUIshLjvviHG8YtlQitjRh+CY1x87REBG1fzb/emzu3LlYvXo1Pv/8c2RkZODxxx9HVVUVkpKSAADTp0/HvHnzLPu/9dZbeOmll7BmzRpERERApVJBpVKhspKTT4k6EvMcIw6lI1vQG4z4cNtZAMCjo7pCIZXYOaLGTakfTrfjTDFyS6vtHA0RUftm88Ro8uTJWLJkCebPn4/Y2Fikp6dj8+bNloYMOTk5KCi4tE7DihUroNPpcO+99yIkJMTyWLJkia1DJSIH0tKKkbuciRFd38+H8nChrAb+HjKH6UTXmC5+7hjezQ+CwNbdRES21iaLNcyZMwdz5sxp9Llt27Y1+HN2drbtAyIih9fidt1SrmNE12YwCli+1VQtmjUyylJldFT3D+mM3Wcv4tsDuXhqbHe4SBxrLhQRUXvBd1cicjgGo4Cq+opP8xd4ZcWIrm39kXxkX6yGt5sUDwztYu9wruvmmGD4uctQqNZi66lie4dDRNRuMTEiIodTdVm1p8XNF7jAKzXCeFm16KHhkc1OvO1B5iLGvYPYhIGIyNaYGBGRwzEPo5NKRJA3s4Uymy/QtfxxQoXThZXwVLhgxvAIe4fTZJPrmzBsO1WEvPIaO0dDRNQ+MTEiIodzeeMFkUjUrGPdZKYKQA0TI/obQRDw/l+matHMYRHwUkjtHFHTRQV4ICHKD0YB+HY/mzAQEdkCEyMicjgtbdUNXD7HqA6CIFg1LnJuW08V4Xi+Gm4yCZKGR9o7nGa7P97UPe/bA7moMxjtHA0RUfvDxIiIHE5LW3UDl4bSGQVAW8cPj2QiCAL+m2yqFj0wtAt83WV2jqj5xvUOgo+bFAUVtWzCQERkA0yMiMjhtLRVNwC4XbZQJ4fTkdn208VIzy2H3EWMh0c6X7UIAOQuEkyKM801+nLveTtHQ0TU/jAxIiKH05qhdC4SMWT167xUszMdwdSJbvHvpwCYqkWBngo7R9Ry/4jvDJHIlOidv1hl73CIiNoVJkZE5HBaM5QOANzk9fOMtFzklYANRwtwPF8ND7kLZt/Qzd7htEoXP3eM7hEAAPhqH1t3ExFZExMjInI4rRlKB1waTseW3aQ3GLF0y2kAwKyRUU45t+jvptUvSvvtgVzUsipKRGQ1TIyIyOFUmofSyVqWGHEtIzL77sAFZJVUwc9dhoecdG7R343pGYgwb1eUV+ux/kiBvcMhImo3mBgRkcMxzzHyaGnFyLyWkZ5D6TqyKm0d3ks2VYvm3NitxUMzHY1ELMLUoabW3V+wCQMRkdUwMSIih9PaOUasGBEAfLD1LArVWoT7uuIf9WsAtReT4sIhk4hxOLccRy6U2zscIqJ2gYkRETkc81C6FjdfYGLU4WUWV+LjnZkAgAW39YbcRXKdI5yLv4cc4/sGA2DrbiIia2FiREQOR1OrBwB4uUpbdLw5MeI6Rh2TIAh4+bcT0BsE3NAzAGN7Bdo7JJuYlmBqwvBLej4qqvV2joaIyPkxMSIih6OpbV1XOlep6ThWjDqmLScKseN0MWQSMebf3hsikcjeIdnEwM4+6BXiBW2dEd+l5do7HCIip8fEiIgcjrqmvmKkaG3FiM0XOppavQGvrj8BAJg1KhKR/u52jsh2RCKRpXX3V/tyYDQKdo6IiMi5MTEiIoejbmXFyLzAaxUrRh3Oyu3ncKGsBiFKhdMv5toUd8aGwlPugqySKuw+V2LvcIiInBoTIyJyKAajYGm+0OI5RhxK1yHlllZjxbZzAID/TIixtG1vz9zlLrhnUCcAwBcpbMJARNQaTIyIyKGYW3UDragYcShdh/Ta+hPQ1hkxrKufpWNbR/BA/ZpGf2YUIr+8xs7REBE5LyZGRORQ1PUd6eQu4ha3WOY6Rh3PtlNF+ONEIVzEIrxyR/ttuNCYboGeSIjyg1EAvknNsXc4REROi4kRETkUc2Lk2cLGC8BlFSM9E6OOQFdntDRcmDksAt2DPO0cUdszt+7+JjUXujqjnaMhInJOTIyIyKGYW3V7ubZ8fggXeO1Y/peSjcziKvh7yPBUYnd7h2MXN8UEIdBTjpJKLTYdK7B3OERETomJERE5lNa26gYAVxmbL3QUFyu1eC/5DADguXE9W1VpdGZSiRhT401VozW7s+0bDBGRk2JiREQOpbWtugE2X+hI3tlyGpraOvQO9cK9g8LtHY5dTR3aGTKJGIdzy3Ewp8ze4RAROZ02SYyWL1+OiIgIKBQKxMfHIzU19ar7Hj9+HPfccw8iIiIgEomwbNmytgiRiByEpn6OUUtbdQOAq5RD6TqCE/lqrK1vNrDg9t6QiDtOw4XG+HvIcWdsKABgza4sO0dDROR8bJ4YrVu3DnPnzsWCBQtw8OBB9O/fH+PGjUNRUVGj+1dXVyMqKgqLFi1CcHDHabdKRCbqmvo5RlapGDExaq8EQcCr64/DKAC39QvBkEhfe4fkEJKGRwIANh1TsXU3EVEz2TwxWrp0KWbNmoWkpCTExMRg5cqVcHNzw5o1axrdf/DgwVi8eDGmTJkCuVxu6/CIyMFYKkatmCviLjclVVW6OgiCYJW4yLFsPqbC3sxSyF3EmDe+l73DcRgxoV4YGuULg1HA/7jgKxFRs9g0MdLpdEhLS0NiYuKlC4rFSExMREpKilWuodVqoVarGzyIyHldatfd8oqReR0jowBo2bq43anVG/DGxgwAwKOjuyLM29XOETmWB+urRt+k5qCa8+yIiJrMpolRSUkJDAYDgoKCGmwPCgqCSqWyyjUWLlwIpVJpeYSHd+zJt0TO7lK77lasYyS9tDAsh9O1P5/sysKFshoEeynw2Ogoe4fjcMb2CkJnXzdU1Ojx06E8e4dDROQ0nL4r3bx581BRUWF55Obm2jskImoFtRWG0rlIxJBJTG9v1VzktV0pVNdi+dazAIB546PhJmt5ZbG9kohFmDksAoCpCYPRyOGkRERNYdPEyN/fHxKJBIWFhQ22FxYWWq2xglwuh5eXV4MHETkvc/OF1gylAy4Np2PL7vblrc0nUa0zYGBnb9zRP9Te4Tis++I6wUPugnPFVdh5tsTe4RAROQWbJkYymQyDBg1CcnKyZZvRaERycjISEhJseWkiclLWaNcNXOpMx5bd7cehnDL8eNA0NGzB7b0hEnXs9tzX4qmQ4r64TgDYupuIqKlsPpRu7ty5WL16NT7//HNkZGTg8ccfR1VVFZKSkgAA06dPx7x58yz763Q6pKenIz09HTqdDnl5eUhPT8fZs2dtHSoROQBrLPAKXKoYMTFqH4xGAa/8dgIAcO+gTugf7m3fgJzAzGEREImA7aeLcbao0t7hEBE5PJsnRpMnT8aSJUswf/58xMbGIj09HZs3b7Y0ZMjJyUFBQYFl//z8fAwYMAADBgxAQUEBlixZggEDBuDhhx+2dahEZGeCIFilXTfAtYzam5/T85CeWw53mQT/N66nvcNxCl383JHYy/S79rM9rBoREV1Pm8xanTNnDubMmdPoc9u2bWvw54iICK47QtRB1eqN0BtM//5bWzFyk5qOZ8XI+Wlq9Vi46SQAYPaN3RDopbBzRM7jweGR2HKiEN+nXcCzN/WEj7vM3iERETksp+9KR0Tth7kjnUgEuLey25ib3FQxqmLzBaf33+QzKNZoEenvjodGRNo7HKcyNMoXMSFeqNUb8XVqjr3DISJyaEyMiMhhVNSYEiOlqxRicesm1nMoXftwtkiDT3dnAwDm3xYDuYvk2gdQAyKRCLNGmZLJz/ZkQ1vHfw9ERFfDxIiIHEZZlQ4A4OPW+uE+rhxK5/QEQcDLv55AnVFAYq9A3BAdaO+QnNKEvqEI8pKjWKPFr+n59g6HiMhhMTEiIodRflnFqLXcuI6R0/v9uAq7zpZA5iLGS7fF2DscpyVzEWPmMFPV6JNdWZzHS0R0FUyMiMhhlFebK0bWS4xYMXJOVdo6vLY+AwDwyMgodPFzt3NEzu0fQzrDTSbBSZUGu7jgKxFRo5gYEZHDKK82VYy8rTGUzpwY6ZkYOaN3/jiNvPIahHm74okbuto7HKendJNiUlw4AGD1TrbuJiJqDBMjInIY5qF03lasGLH5gvNJzy3Hp/Xr7rxxVx+4tbJDIZk8ODwSYhGw43QxTqk09g6HiMjhMDEiIodhHkrn7WqNipG5+QLnGDkTvcGIF344AkEAJsaGYkxPNlywls5+bhjXOxgA8PHOTDtHQ0TkeJgYEZHDMA+l83G3QsVIyjlGzmjVjkycVGng4yZlwwUbeHhkFADgl/R8FGlq7RwNEZFjYWJERA6jrL5iZN2udEyMnEVmcSXeSz4DAJh/ewz8POR2jqj9GdTFBwM7e0NnMOKLlPP2DoeIyKEwMSIih2GpGFmh+YKb3DSUroqJkVMwGgXM+/EodHVGjOoRgImxYfYOqd0yV42+3HueXxwQEV2GiREROYwKmzRf4BwjZ7DuQC72ZZXCVSrBGxP7QCQS2Tukdmtc72CE+7qirFqP7w9esHc4REQOg4kRETmMMss6RlZovsA5Rk4jv7wGb24wrVn07M09EO7rZueI2jeJWIQHh5sWfF2zKwtGIxd8JSICmBgRWd2JfDW+SMnGuv05uFBWbe9wnEat3oBavRGAac2V1uIcI+cgCAJe+PEoNNo6xIZ7I6n+AzvZ1qS4cHgpXJBVUoXkk0X2DoeIyCFwcQgiKymp1OL57480+JAhFgEzhkVg3q29IHPh9xDXYp5fJBGL4Clv/VuTee2bar0BgiBwaJaD+vZALnacLobMRYwl9/WHRMy/p7bgLnfBP+K7YOX2c1i9MxM3xQTZOyQiIrvjJzUiKyhU1+LuD/cg+WQRXMQijOkZgCERvjAKwKe7s/HIFwdQZzDaO0yHVl5jXsNIapUkxrW+YmQwCtDxZ++Q8str8Pp60xC6f93cA90CPewcUccyc1gEpBIRUrNKsTfzor3DISKyOyZGRK1UUaPHtE/2Iae0GuG+rtj41Eh8ljQE3z6WgDUz4+AqlWDbqWK88tsJe4fq0MqqrNd4Abg0lA7gcDpHdPkQuoGdvfHQiCh7h9ThBCsVmDw4HACw9I/TEATONSKijo2JEVErCIKAF386itOFlQjykuPrh4eiR5Cn5fkbo4OwbEosRCLgi73nsflYgR2jdWwV5oqRFRovAIBUIoZUYqo8sQGD4/ly73nsOF0MuYsYizmEzm7m3NAdMhcxUrNLsetsib3DISKyKyZGRK3w06E8rD9SAIlYhI+mxTXaTWtc72A8MaYrAGDBr8ehqdW3dZhO4dIaRtapGAHsTOeojudX4LX6LnT/d0s0ugZwCJ29BCsVeCC+CwDgHVaNiKiDY2JE1EI5F6sx/5fjAIBnErsjNtz7qvs+eWN3RPi5oVCtxXt/nmmjCJ1LWX1ipHS1TsUIuKwBA9cychiV2jo8+fUh6OqMGBsdiAeHR9g7pA7v8TFd4SqVID23HL8ezrd3OEREdsPEiKgF6gxGPL3uECq1dRgc4YPHx3S75v4KqQQL7ugNwDSkrlBd2xZhOpVyyxpG1qsYuclZMXIkBqOAp9emI7OkCqFKBZbc15/dAh1AgKccs28wVbXf2JDBqjYRdVhMjIha4IOtZ3Ewpxyeche8Ozm2SfMjxvQIQFwXH2jrjFix7VwbROlciiu1AAA/D7nVzsm1jByHIAiY/8sx/JlRCJmLGB9MHQgfd+tVB6l1Zo2KQoSfG4o0rGoTUcfFxIg6NHWtHt8dyMXCTRn4aPs5ZBSorzvGfvvpYryXbPrg8PpdfdDJ58p5RY0RiUSYe1MPAMDX+3JQrNG2Lvh2pqTSVDHy97DiUDqpeSgdEyN70huMeP6HI/hqXw4AYNnkWAzs7GPnqOhychcJXq6van+6JxtHL1TYOSIiorbHxIg6rI1HCzD67a147vsj+Gh7JhZuOolb39uJyav2Ij23vNFjThdq8NTaQxAE4P4h4bgzNqxZ10zo6ofYcG/oDEZ8Xf8hkUxK6hNFf0/rVYzMaxlxjpH9ZBSoce+KPfj2wAWIRcCS+/pjfN8Qe4dFjRjTMxAT+oXAYBTwz7WHUKXlvxsi6liYGFGHtG5/Dp746iDKqvWI8nfHzGERGBsdaGpbm1WKict3Y/ZXB3G2qNJyTGpWKSZ9lILyaj36h3tbvl1tDpFIhAdHRAIwzTXS1rGSYVZSP5QuwBZD6fT8ObcFQRBQpKlFalYp/peSjelrUnHreztx+EIFlK5SfDQtDvcO6mTvMOka3pjYB8FeCmSVVOGFH4+ySx0RdSgubXGR5cuXY/HixVCpVOjfvz/ef/99DBky5Kr7f/fdd3jppZeQnZ2N7t2746233sL48ePbIlTqALafLsa/fzoGAJiR0AX/uS0GUonpO4L88hq888dp/HjoAjYcLcCGowXoEeQBqUSM4/lqAEBsuDc+SxoMuYvkqte4llv7BCPYSwGVuhYbjhTg7oH8oGg0CrhYZR5KZ4uKERMjWxAEAfuySrH5mAoHc8qQVVwFzd+qDCIRML5PCP5zWy+EKF3tFCk1lbebDO9NicXUj/fht8P5iPJ3xzP1Q4CJiNo7m1eM1q1bh7lz52LBggU4ePAg+vfvj3HjxqGoqKjR/ffs2YP7778fDz30EA4dOoSJEydi4sSJOHbsmK1DpQ6gWKPF02sPwWAUcPeAMLx8R29LUgQAod6ueGdSf2z850gk9gqEWAScLqzE8Xw1xCJgUlwnfPlwfKsWIZVKxJga3xkAsG5/bqtfU3tQXqOHwWj6ZtrXihPy3ZgY2Uza+VJM/HAPpqzai8/2ZOPIhQpotHUQi4BOPq4Y2d0f/3dLT/z17BgsnzqQSZETiY/yw+sT+wAA3ks+w2YxRNRhiAQb18nj4+MxePBgfPDBBwAAo9GI8PBwPPnkk3jhhReu2H/y5MmoqqrC+vXrLduGDh2K2NhYrFy58rrXU6vVUCqVqKiogJeXl/VeCDk9QRDw2Jdp+P14IXqFeOGX2cMhc7n2dwNlVTrszy6FUQAGdPZGkJfCKrEUVNRg2KK/IAjAtn+NQYS/u1XO66zOFGpw07s7oHSV4vCCm6123jc3ZmDVjkzMGhmJFyfEWO28HZkgCHgv+Qz+m3wGRgFQSMW4vV8oxvQMRI8gD3T2c2txNZUcy3+Tz2DpltMAgIdGRGLerdFwkXAEPhE5l+bkBjZ9h9PpdEhLS0NiYuKlC4rFSExMREpKSqPHpKSkNNgfAMaNG3fV/bVaLdRqdYMHUWO2nSrG78cL4SIWYcl9/a6bFAGAj7sMN/cOxi19gq2WFAFAiNIVo7oHAAC+S2PVyNyq25od6QDAVcqKkTXVGYz413dHsOxPU1J094Aw7Hr+Riy+rz8m9AtB9yBPJkXtyD/Hdsdz43oCAD7ZlYXpa1JxsZLdNImo/bJpYlRSUgKDwYCgoKAG24OCgqBSqRo9RqVSNWv/hQsXQqlUWh7h4eHWCZ7aFYNRwKJNJwEAD46IRO9QpZ0jAibFme7V79MuWIaRdVSXWnVbb34RALhzgVerEQQB//n5GH44eAESsQhv39MPSyfHWv3vjBzL7Bu64cOpA+Emk2DPuYsYt2wntp5qfCg8EZGzc/qa+Lx581BRUWF55Oby23e60k+H8nCqUAMvhQueGNPV3uEAABJjAuHjJkWhWosdZ4rtHY5d2aJVNwC4yszrGLHtcGt9vDMLa/fnQiwClv9jICYN5pdQHcX4viH4efZw9AjyQEmlFkmf7seCX46hlt0eiaidsWlXOn9/f0gkEhQWFjbYXlhYiODg4EaPCQ4Obtb+crkccjm/saSrq9UbsPSPUwBM3362pnGCNcldJJg4IAyf7s7G9wcu4IaegfYOyW5s0aobANzZfMEq/jiuwpubMgAAL06IwS19Gn8/pvarR5Anfp0zAos2ncRne7Lxecp57Dl3EcumxDpEBd6aLpRVY19mKU4VanCxvprtqXBBgKccPYM80SdMiWCl9YZWE5HjsGliJJPJMGjQICQnJ2PixIkATM0XkpOTMWfOnEaPSUhIQHJyMp5++mnLti1btiAhIcGWoVI79vmebORX1CJUqcCMYRH2DqeBewd1wqe7s7EloxAVNXooXaX2DskuzImRnxU70gGAp8L081TXsmLUUsfyKvDU2nQIAjA1vjMeHB5h75DIThRSCV6+ozduiA7Ev747jDNFlZi4fDeeG9cTD4+IglgssneILWY0CvjjRCE+3pmJA+fLrrt/t0APjOkRgIkDwtAnrH0lhkQdmc3XMZo7dy5mzJiBuLg4DBkyBMuWLUNVVRWSkpIAANOnT0dYWBgWLlwIAHjqqacwevRovPPOO5gwYQLWrl2LAwcOYNWqVbYOldqhimo9lm89CwB45qYeUEgda2J4TIgXegZ54lShBhuPFuD+IZ3tHZJdWOYYWXkonafC9BanqdVb9bwdRaG6Fg9/fgA1egNGdvfHy3f0hkjkvB9+yTpG9wjA5qdG4oUfj2LLiUK8ufEktp4sxrIpsVZtUtNW8spr8MzadKRmlwIwrb01INwb/Tpd6kRaqdUjr6wGJ1UanC7U4GxRJc4WVeLjXVnoFeKFyXGdcF9cONzlbbI8JBHZiM3/BU+ePBnFxcWYP38+VCoVYmNjsXnzZkuDhZycHIjFl6Y6DRs2DF9//TX+85//4N///je6d++On3/+GX369LF1qDZjNAo4V1yJQznlyFCpkVtag+JKLYxGASIREOgpR7BSgQg/d3QL9EDXAA+Eebs69bdvjuLDbWehrq1DdLCnQy6kKhKJcPfAMCzcdBI/HrzQgRMjc1c66yZGXuaKUQ0rRs1VozPg4c8PQKWuRdcAd3zwj4EN1vyijs3PQ45V0wZh3f5cvPLbCaRkXsTdH+7Blw/HI9KJlh/YfEyF5384gooaPdxkEjw4PBLTErpcM8GrqNZj97kSbDhagC3HC5FRoMbLv53AsuQzmD60C2YMi4Afm5IQOSWbr2PU1hxpHaPtp4vx8c5MpOeUX7Ea/PUopGJE+XtYEqVugR4I93WFr7sMvu4yuMn4rdT15JfXYMySbdDVGfHpzMG4Idox5/AUqmuRsDAZRgHY/twYdPFzng8V1jJ80V/IK6/BT08Mw4DOPlY7b25pNUa+vRVyFzFOvX6r1c7b3hmNAmZ/fRCbjqng4ybFz7OHd8j7kpoms7gSD39+AJklVfD3kOOLh4agV4hjryNYqzfg9Q0n8OXeHABA/05K/Pf+Ac2+z8urdfj1cD7W7MpC9sVqAKbf3/cNCkfS8AhEBXhYPXYiap7m5Ab8dG1DVdo67DxTAsC0nkq/Tkr066REZ183BHopIJOIYTAKKNJokV9eg8wSU2k+u6QatXojThSocaKg8XWZFFIxgr0U6B/ujbgIX9zSOxgBVh6G5OwW/34Kujoj4iN9MaZngL3DuaogLwWGd/PHzjMl+OlQHp5O7GHvkNqU0SiguL4rnbXvYa/6OVvaOiO0dQausdNEb2zMwKZjKsgkYqyaHsekiK4pKsAD6x5NwPQ1qcgoUOP+1Xvx9cNDERPqmMnRmUINnvzmEE6qNACAR0dF4dmbezZpbbu/83aTYXpCBKbGd8Efx1VYuf0cDl+owBd7z+OLvedxQ88AJA2PxMju/hyGSuQEWDGyoZJKLTYdU2FAuDeigz2bvGJ4ncGI3LIanCuqxNniSst/C8prUVqlg85gvOIYF7EIE/qF4OnEHk41jMFWDuaU4e4P90AkAn6dPQJ9Ozn25NifDl3AM+sOo4ufG7b9a0yH+gVapKnFkDeSIRIBp1+/1arDtQxGAV3/vREAcOA/iVxzpwk+3pmJ1zeYOtC9NyUWd8aG2TkichYVNXpMX5OKw7nl8HaTOlxyJAgCvknNxavrj6NWb4S/hwxLJ8ViVA/rfXEmCAJSMi9iza4sJJ8sgvkTVicfV4zvG4IbowPRv5M3XGX8koaorTQnN2Bi5GQEQUCltg5lVXpkX6zCwZwybD1VjMO55QBMCdI/x3bH42O6dtj5AIIg4K4P9yA9txz3DeqExff1t3dI11Wtq0Pc63+iWmfAD48nYFAXX3uH1GYO55bjzuW7EeQlx75/J1r9/H0W/I5KbR3+enY0h7Vcx5d7z+M/Px8DAMy7NRqPjnaMNb/Ieahr9Zj2ieMlRwUVNXjhh6PYftq0ZtyoHgF4577+Nh1pkV1Shc/2ZOP7tAuovGw4vYtYhO5Bnuji64ZQb1d4ubrASyGFp8IFSlcpvN1k8HGTItzXzeEaBhE5Iw6la8dEIhE8FVJ4KqTo7OeGUT0C8HRiDxzLq8Di309h++liLN1yGltOFOK/9w/okNWjnw7lIT23HG4yCZ4b19Pe4TSJm8wFt/YJwQ8HL+CHg3kdKjEqqKgBAIQoXW1yfi+FCyq1ddCwZfc1XV4penhEJB4ZFWXniMgZeSmk+OKhIZbk6B8f23dYnbpWj893Z+OjHZmo1NZB5iLG/43riQeHR9q8wVGEvztevqM3nr8lGttOFWHTMRX2Zl5EkUaLjAI1Mq4yVN5MJDJVmgaE+yChqx9G9QhAmLdt3ieJyISJUTvRJ0yJz5IG45f0fMz/5RiO5lXgjvd3YfF9/XBLnxB7h9dmVBW1ePnX4wBMi7kGOlHr2HsGhuGHgxew/nA+5t8W02G+KcwvrwUAm/3C91RIgYpaJkZXoasz4vUNJ/C/lPMAgCfGdMVz43p2qOGcZF2tTY4MRgHpuWXYm1mKM4UaFFdqUWcQIBaJ4O8pR2D9I8hLUf+Qw89dDrEY0BsE5JXV4EyRBjvPlGDzMRVq9KYFnmPDvbHkvv7oFti2lWNXmQS39g3BrX1DIAgCLpTV4HShBjml1VCpTe9Nmto6qGv0qKh/lFRqoamtQ25pDXJLa/Dr4XwAQHSwJ8b2CsTYXkHo38kbEnavbbXyah3W7c/F3syLyCqpgt4gIFipQP9O3ri9fwhiw735ftiBMDFqR0QiESYOCMPQKD88+c1B7M8uw2NfHsRDIyLxwq3R7X5oXZ3BiH99dxjq2jr066R0um+8h0b5IUSpQEFFLf46WYTxfTtGQptfbq4Y2SaJ9XI1vc2puZbRFU7kq/H8D0dwNK8CAPDcuJ6YfUM3O0dF7UFjydGHUwdiWFf/qx6TW1qNbw/k4rsDF6BS11otlu6BHnhybHfc1jfE7stgiEQihPu6IdzX7Zr7CYKA0iodTqk02JtVij1nS3AwpwwnVRqcVGmwfOs5+LnLcEN0IBJ7BWJE9wB4cA2lZsktrcYnu7Lw7YFcVOsMDZ7LK69B2vkyrNmdhbguPvi/W6IxJLLjjOToyDjHqJ3SG4xY8vspfLQjEwAwqIsPPvjHAJsNV7Kmi5VanCrUQF1TB4VUjAg/d3T2dbvmLzRBEPDCD0ex7kAuFFIx1j85At0CPdswaut4a/NJrNh2Dom9gvDxjDh7h9MmZn91EBuOFuCl22Lw0IhIq5//wc/246+TRXjrnr6YPLhjrhN1OUEQcCxPjTW7s/BLeh6Mgmm44dJJsUiMCbJ3eNTOqGv1mP5JKtJzyyESAVMGd8Yjo6IQ4ecGkUiEiho9tp0qwrcHcrH77EXLcV4KF4zo7o++Yd4IUSoglYhRZzSiWKNFkUaLInUtCtVaFGpqUVhRi6rLPtgGeMrR2dcNcRE+uKlXEAZ18WkX3/iXVemw7XQRkjOKsP10cYMquFQiQt8wJeIifDGoiw+GRPjCx11mx2gd17G8Cny0IxMbjxbAYDR9BO4V4oVJcZ0QE+IFmYsYOaXV+Oukafijrs7U8OqO/qH49/heCG7hl3i1egO0eiM8FS52T9A7GjZfYGJk8ftxFf713WFoauvg6y7DssnW7cDTUoIg4GKVDjml1cgsrsIpldryTZi5dfPl/NxlGN0jADf2CsToHgGm4VH1Kmr0eOGHI9h0TAWxCPhoWhxuctIPeGcKNbjp3R1wEYuw799jO8QigXd9uBuHcsqxYupA3GqDKtnTaw/h5/R8vDi+F2Y5WRWxtcqrTf/GcktrkFtWjaziKuzLumhZbwUAJvQNwYI7YhDo6TzDTsm5VOvq8Nr6E/gmNdeyzd9DBhexGIWaWlz+KWREN39MHhyOm3sHNau9vrbOAEEAxCJRi9puOxu9wYj9WaVIPlmE5IzCBv+mAVODhzE9AzF5cDgSewU6XWIoCALOX6xGVkkVCtW1qKjRQyQCpBIxAj0VCFYq0MXPDX7usia9Nr3BiOSMIvwvJRt7zl1KwEd298cjo6Iwolvj7dQL1bV4L/kMvknNgSAAbjIJ/jm2Ox4cHnnd+6xSW4fNx1T4/bgKh3LKUFKpAwCIRUDXAA/ERfjg5t7BGN7Vv0Pcs/bExIiJUQPnL1bhia8O4ni+GiIRMCMhAnNu7HbN1sXmcdDpueVIzy3HueJKqC6bpyEWA25SF7jJJXCXucBNJoG7/NJ/XaUSaOuMUNfq68dP6y1jqDW1dSiv0aFWf2XbcbPOvm4I8JSjSluHrJIqaOsu7SuTiBHb2RsRfm7Q1NZh99kSqGvrIJWI8OZdfXFfXLj1fnh2cMcHu3DkQgVevj0GM4dbv4LiaIa+mQyVuhY/zx6O2HBvq5//pZ+P4Yu95/HPG7th7s3O0YyjJWr1BqRkXsTuM6YhN5klVSivbnz4oNxFjJt7B+ORkVEO38qe2o99mRfx4bZz2HW2xPJNPQBE+bvj9v6huHdQp+sOMaMrCYKAnNJqpJ0vw4HzZdifVYozRZWW5/t1UuKFW6IxrNvVhzE6gtz6Ks1fJ4twMKesSfNC3WUSdPFzR4S/m+m/fqb/+nvIoak1de/dn12GLScKLV+6SsQi3NYvBLNGRqFPWNPe/47lVWD+L8dwMKccABAV4I7/GxeNxF6BDZZiqdUbsON0MdYfKcAfJ1TX/Jxj5qlwQWKvINwcE4SRPTgk0haYGDExukKt3oBXfjuBb1JNq3zLJGKM7RWIoVF+6OznBqlYjNJqHc4UapBRoEZ6bgVKKq+s3FiTSASEKl0R7uuK6GAv9Az2RHSwJ3oEecL9sjcGvcGIA9ll2HqqCFtOFCKrpOqKc3UNcMc7k2Jt8sG6rX26Owuv/HYC/Top8eucEfYOx6bqDEb0+M8mGAUg9d9jbdIsY/HvJ7F86znMHBaBl+/obfXz29uFsmr8L+U8vj2Q22giZB5WFO7jis6+bugf7o0hkb4Nqq5EbalGZ8CZIg1EECFYqeDi5DZwplCD79Iu4Ku95y3DDMf3DcZLt8U41JD68modfknPx3dpuTiW17BLn8xFjK4BHghRKuB92WLdhepaFFTUIr+iBs35BOvvIcO9g8LxwNDO6OTT/ATcaBTw06E8LNx00vL5yMdNin6dvOGpcEGxRovj+eoGrdmj/N0xcUAYhnfzR7cADyhkYpRW6XA8T41tp4vw+/HCBqNkRPXVpO6BHvB2k8Jd5gIXiRguYhEkYhFcxCJ4KFzQN0yJ/uHe7X7uuLUwMWJidFU7zxRjyR+nLeseXYuLWISYUC/EhnujV4gXgpUK+LjJIAJgEATU6Ayo0tahWmdAla4O1dr6/9Zvl7tI4KlwgafCBV6uUngpzGs1SOHl6oJgpaJZQyUA0zdj54orcTi3AnnlNfCQuyA6xBPxkX7tpjtPSaUWQ99MRp1RwJ9zRznlXKmmyiuvwfBFf0EqEeHUa7faZNz1yu3nsGjTSdw9MAxLJ8Va/fz2oqnV44OtZ/HprmzLos8hSgVG9whAQlc/dA/0RIS/G9xk/PaRqKMqqdTi/eQz+HJfDgxGAe4yCZ65qQdmDoto8qLztlBQUYP3/zqL79MuWObwSMQiDOrigxujAzGimz96Bnte84O/ts6A3NIa5JRWIbukGucvViH7oum/pVU6eMhd0MnXDb1DvTCqewCGd7POkDV1rR4rtp3Dt/tzcbFKd8XzwV4KjO8bgjtjQ9Gvk/KaQ/0MRgFp58uw5YQKf5woxPm/DYm8Fn8POSbFdcKjo7pC6cYvuq6FiRETo+s6ka/G5uMqHMurQJGmFvo6AUpXKSL93dErxBN9wpToE6bsMC2jHc3Dn+/HnxlFeGJMV/zfLdH2DsdmDmSX4t6VKQj3dcXO/7vRJtf4el8O/v3T0XbV0GLrqSI8//0RFNV/05gQ5YeHR0ZiTM/AdvMFARFZz4l8Nf7z81HLULDoYE+8emefa3ZaMxgFGIwCXMQiq31pVazR4sNtZ/HVvhxLQhQd7InJg8NxZ2wYfJ2oYYTeYMTRvAqcUmmg1RvgqZCiV4gXooM9W/zzKtLU4lheBc5frIamtg5V2joYjALq6v8u6owCijVapJ0vRVn9CAGlqxSv3NEbEweEWfPltStc4JWuKybUyyFWI6fG3T2wE/7MKMJPh/Lwr5t7ttsONnnltl3cFTCN3wZMFRZnV62rwxsbMvDVPtOQ2Eh/d/xnQi/cGO18k6uJqO3EhHrh+8eG4bu0XCzcdBInVRpM+igFvUK8MKyraakIncFoqcCcv1iN/PIaGAXTnMSuAR4Y1SMAdw0IQ8/g5o9iKKvS4aMdmfh8T7ZlXan4SF88e3NPDI5wzq6BUokYAzv7YGBnH6udM9BTgRujrz+k3NxMYumWUzhdWImn16Vj55kSvHpn7wZTEaj5+NMjckA3RgfCU+GCgopa7M286PCTZlsqu8Q0bCDCz3YTrr3qx6Y7+wKvaefL8Oy36ZbuU0nDI/D8LdGs6hJRk4jFIkwe3Bk3xQRj8e8n8UNaHjIK1MgoUF/zOG2dEScK1DhRoMbK7edwY3QgHh/TFYMjrr+uj7pWj092ZuGTXVmWuTf9w73x3M09Mbybn1MmRI5AKhHjlj7BSOwViA+2nsV/k8/gh4MXTK3Ipw1ChL+7vUN0WkyMiByQQirBbf1C8U1qDr7Zn9tuE6OsElPnpEh/261Eb64YOesCr7V6A97dchqrd2bCKJjmES25rz+Gt9N7gohsy9ddhoV398Pzt0Tjz4wiHM+vQFmVDmKxCJ28XdHZzx1d/NzQ2dcNrjIJyqp0SM8tx8ajBdhyotDSOW5IpC9m39ANo7pf2eq6WKPFFynZ+N/e85amML1CvPCvm3uwwm1FLhIxnk7sgaFRfnjym0M4VajBHR/swn/vH4AxPQPtHZ5T4hwjIgd1LK8Ct72/CxKxCNufG9OiLjqO7s4PduHwhQqsfGAQbukTbJNrnC2qROLS7VC6SnF4wc02uYat7DpTgpd/O46z9a137x4YhgW394bSlRNtiajtZZVUYdWOc/ghLc/S9CXS3x0ju/sjzNsVVToDjlwox56zFy3Pdw1wx9ybeuLWPsHtdli4IyhU1+KxL9NwKMe0mPKzN/XAY6O7XrXJRq3egK0ni7AloxBniypRpa2D0lWKvmFK3BAdiJHdA9rNnFU2X2BiRO3E1I/3YvfZi3hweCTm3x5j73CsShAE9HvlD2hq6/DHM6PQI8g23feK1LUY8mYyxCLg3JvjHf6bSkEQcDCnDO//dRbbThUDMHUfWnh3X6dduJiI2hdVRS1W78zE1/tyLHOG/i423BuzRkbhlj7B7eYDtqPT1hnw8q+XlmbpFeKFJ8Z0xY3RgXCXu6C8Woc95y5i8zEV/swoRLWu8b87AAjzdsWkuHBMGtzpuvOAa/UGlFXrEOAht2u3w6thYsTEiNqJ7aeLMWNNKtxkEuz8vxvgd41FeZ1NSaUWca//CZEIyHj1FpvNlanVGxD90mYAwLFXxjns4nm1egN+Tc/H5ynZOJ5vGvPvIhbhgaFd8NTY7vBxom5NRNQxVGrrsON0MdJzy1GkroW73AURfu4Y1SOgRU0ayDq+O5CL1zdkoKLm0hByhVR8xYKzYd6umNAvBAM7+0DpKkVxpRb7Mi9i/ZECy7FiETCqRwBGdPNHFz/T3KUiTS0yi6twrrgS54orcaHMtKaUi1iEwRG+uC+uE+6MDXOYhJiJERMjaicEQcAdH+zG0bwKPDQiEi/d1n6qRvuzS3HfyhSEebti9wu2adUNmH6GPf6zCXqDgN0v3Igwb8dZ3BAwDX9YsysL6y5boFXuIsYd/UPxxA3dEMlJtERE1EylVTp8ujsLPx7Ms3SABUxDG2+MDsT4viGIDfdudBRFrd6AzcdU+Do1B6lZpU26nlgEGC/LKHqHemHR3f3Qt5Oy1a+ltdium6idEIlEeG5cT0xfk4ov9p7HQyMiEepgH+xbKqukCgAQFWDbD/4ikQjebjIUa7Qor9Y1OzEyGgWsO5CL79MuoKRSi+6BHpga3wVjega0alheoboWK7adw9epl9bz6OTjimlDu2BSXDgrRERE1GK+7jI8e3NPPHtzT1RU601D3TzlTWrnrZBKMHFAGCYOCMPZokokZxTiwPkyFKlrAQB+HnJE+ruja4AHuga4o2ugB3zdZMgprcavh/OxemcmjuercfeK3Xj73n64a0AnW79cq2FiROTgRnb3x9AoX+zNLMUbGzOw/B8D7R2SVZgTo7aoiPhaEqPmdaarMxjx1Np0bDhaYNl2/mI1/swoQmy4N167s0+zvw0rUtdixfZz+HpfDrT1CVFcFx88NrorbojmAq1ERGRdSjcplG4ta9rTLdAD3QI98GgT9o3wd8c/x3bH1PjO+M/Px7DtVDH6hnm36Lr2wsSIyMGJRCLMv603bv9gFzYcKcB9g4raRRvOrOK2S4y8638hlFbpmnXcu3+exoajBZBKRPjXzT3RP9wbyRmF+GpfDtJzy3HH8l2YGt8Zz90cfd1fOkXqWqzcnomv9p23JESDuvjgmcQeXM+DiIjaDT8POT6cOhCZJVXoGmC75ThsgYkRkROICfXCzGER+GRXFl786Rg2/nNki7/9cRSnCzUAgKg2eNP0rR+WVlbd9MQoo0CNFdvOAQCWTorF7f1DAQBDo/wwa2QU3tiYgV/S8/Hl3hxsPKrCC7dG496Bna5oR3u6UINPd2fjx4MXLAnRwM7eeOamHhjR7cr1P4iIiJydSCRyuqQIYGJE5DSeuakH/swoxPmL1Xju+8P4aNogp/1QXaWtQ9ZFU8Wod6jtm6SY5+s0p2L0zh+nYBSAW/sEW5Iis0AvBd6bMgBTBnfG/F+O4UxRJf7v+yP4b/IZJET5wd9TjvJqHQ7llOOkSmM5bkBnbzyT2AMjG1kQkYiIiOyLiRGRk/CQu+CD+wfi7hW78ceJQny2JxtJwyPtHVaLZBSoIQhAkJcc/m3QgtzXrb5i1MTE6HShBn9mFEEsAp4b1/Oq+yV09cPGp0bis93ZeC/5DC6U1eC7tAsN9hGLgJtjgjFzeATiI32ZEBERETkomyZGpaWlePLJJ/Hbb79BLBbjnnvuwXvvvQcPj6uX1latWoWvv/4aBw8ehEajQVlZGby9vW0ZJpHT6NtJiX+P74VXfjuBNzZkoFugB0Z2D7B3WM12LK8CANA7tG3aeFoqRk1svvDdgVwAQGKvoOsO9ZNKxJg1KgpTh3bG7rMXcTy/AuXVeihdpegW6IHh3fwtQ/mIiIjIcdk0MZo6dSoKCgqwZcsW6PV6JCUl4ZFHHsHXX3991WOqq6txyy234JZbbsG8efNsGR6RU5o5LALpueX4JT0fj395EN89loBeIc61Zpd5AdO2GEYHAL7upvlYTakY1RmM+OlQPgDgvrjwJl/DTeaCm2KCcFNMUMuCJCIiIruyWWKUkZGBzZs3Y//+/YiLiwMAvP/++xg/fjyWLFmC0NDQRo97+umnAQDbtm2zVWhETk0kEuHte/tBVVGLfVmlSPp0P36aPQwhSudZ36itEyOf+qF0F5uQGO04U4ySSi383GUY09P5qnFERETUMmJbnTglJQXe3t6WpAgAEhMTIRaLsW/fPltdlqhDkLtIsGpaHLoHekClrsX0T1JxsVJr77CaRFdnxJkiU0OCthpKZ57HVNKEn9HP9dWiO2PDIJXY7C2SiIiIHIzNfuurVCoEBjZca8XFxQW+vr5QqVRWu45Wq4VarW7wIOoIlG5SfJo0GMFeCpwpqsS0T1JR0cwFTO3hpEoNvUGAl8IFnXzapsoV6GlKjC5WamEwClfdz2AUsONMMQBgfN/gNomNiIiIHEOzE6MXXngBIpHomo+TJ0/aItZGLVy4EEql0vIID2/6nAAiZ9fJxw1fz4qHv4ccJwrUmP5pKjS1jp0c7cssBQDERbRdhzY/DznEIsAoABerrl41OppnapzgqXBBbLh3m8RGREREjqHZidGzzz6LjIyMaz6ioqIQHByMoqKiBsfW1dWhtLQUwcHW+yZ23rx5qKiosDxyc3Otdm4iZxAV4IGvHo6Hj5sUh3PL8eBn+1GprbN3WFe1N/MiAGBolG+bXVMiFsGvfjhdkfrqidH2U6Zq0Yhu/nDhMDoiIqIOpdnNFwICAhAQcP0JyQkJCSgvL0daWhoGDRoEAPjrr79gNBoRHx/f/EivQi6XQy63/TooRI6sZ7AnvngoHvev3ov92WWYsioFn84cggBPx/q3YTAKSM02VYziI/3a9NqBnnIUa7Qo1lw9MTIPoxvdg00XiIiIOhqbfSXaq1cv3HLLLZg1axZSU1Oxe/duzJkzB1OmTLF0pMvLy0N0dDRSU1Mtx6lUKqSnp+Ps2bMAgKNHjyI9PR2lpaW2CpWoXegTpsRXD8fDz12GY3lq3LNiD06pNPYOq4GMAjU0tXXwkLu0WUc6M3OSWKSpbfT5imo9DuWUAQBGMTEiIiLqcGw6VuSrr75CdHQ0xo4di/Hjx2PEiBFYtWqV5Xm9Xo9Tp06hurrasm3lypUYMGAAZs2aBQAYNWoUBgwYgF9//dWWoRK1C/06eeOHx4ehs68bckqrcccHu7BmVxbqDEZ7hwbg0jC6uAifNh+qZm7AcLWhdLvPlcAoAN0CPRDq7Tytz4mIiMg6bLrAq6+v7zUXc42IiIAgNOwQ9fLLL+Pll1+2ZVhE7VqEvzt+fGIY5n57GDtOF+PV9Sfw5b7zSBoeifF9gi1zbexhW/0cnoSoth1GBwDBXgoAQIG68YqReX4Rh9ERERF1TDZNjIjIPvw95Phs5mB8nZqDd/44hcziKrz08zG89PMxdA1wR6S/B7r4uSHQU45ALzkCPRWm//dUwMvVxSbd4sqrdUiprxjd3LvtW2F38nUDAOSWVl/xnCBcatPNYXREREQdExMjonZKLBbhgaFdcEdsKH5Iu4DvDlzAiQI1zhVX4Vxx1VWPk7mIEegpR6S/O2LDvREf6YehUb6tHvr2Z0YRDEYB0cGeiPR3b9W5WsK8ZlJeWc0Vz50pqkRBRS3kLmLER7ZdtzwiIiJyHEyMiNo5L4UUScMjkTQ8EsUaLU6q1MgqqUJeWQ2KNFoUaWpRpNaiSKNFRY0eujojLpTV4EJZDXaeKcH7OAs/dxlu7x+Kh0dGopOPW4vi2HzMtLDzODtUiwAgvD7uC2U1MBoFiMWXqmI7TpuqRfFRflBIJXaJj4iIiOyLiRFRBxLgKUeAZwBGdm98uFit3oDi+mQpo0CDQznl2HqqCBerdPhsTza+2nceD4+MwlNjuzcrgSit0lmGqt3Sxz6JUYhSAYlYBJ3BiOJKLYLq5xwBwPbTnF9ERETU0TExIiILhVSCcF83hPu6YVAXXzwwtAvqDEbsOluC1TszsfvsRazYdg5/ZRRh9fQ4dPZrWvVo7f4c6OqM6BPmhehgTxu/isa5SMQIUSpwoawG5y9WWxKjGp0B+7JMywGM7uFvl9iIiIjI/ri0OxFdk4tEjDE9A/HVw0Px0bRB8PeQ41ShBhM/3I3UrOuvL1ZnMOLLlPMAgBkJETZp7NBU3QI9AACnCy+t77TnXAl0dUaEebuia4CHvUIjIiIiO2NiRERNNq53MNY/OQJ9w5QordLhgY/3Yf2R/Gses+mYCvkVtfCtn6dkT9HBpkVlT6rUlm2/HzfNfUrsFWjXpI2IiIjsi4kRETVLsFKBbx9NwK19gqEzGPHkN4fw2e6sRvet1Ruw5I9TAIDpCV3s3tigV4hpGN/JAlPFyGAU8GdGEQD7NYUgIiIix8DEiIiazVUmwQf/GIjpCV0gCMDLv53A25tPXrFg81ubT+L8xWoEeMoxa2SUnaK9xFwxOlGghq7OiLTzZSit0kHpKsVgtukmIiLq0JgYEVGLSMQivHJHbzw3ricA4MNt5zDj0/04pdKgSluHxb+fxKe7swEAC+/qC3e5/Xu9dA/0gJ+7DNU6A9LOl2FD/TDAsdGBkLZynSYiIiJybvb/pEJETkskEmH2Dd0Q4CHHf34+hh2niy1rApk9N64nEmOC7BRhQ2KxCKN7BODHQ3n4Li0Xv9evrXTngDA7R0ZERET2xq9IiajVJg0Ox+/PjMLNMUFwqV84tbOvG/57/wDMvqGbnaNraEK/EADAjwfzUKUzIDrYE6O6s003ERFRR8eKERFZRaS/O1ZNj0Ot3oAanQHeblKH7PJ2Y3QgRvcIwPbTxZC7iLHonn4OGScRERG1LSZGRGRVCqnE7t3nrkUkEuGjaYNwMKcMoUpXRPi72zskIiIicgBMjIiow1FIJRjWlcPniIiI6BLOMSIiIiIiog6PiREREREREXV4TIyIiIiIiKjDY2JEREREREQdHhMjIiIiIiLq8JgYERERERFRh8fEiIiIiIiIOjwmRkRERERE1OG1uwVeBUEAAKjVajtHQkRERERE9mTOCcw5wrW0u8RIo9EAAMLDw+0cCREREREROQKNRgOlUnnNfURCU9InJ2I0GpGfnw9PT0+IRCJ7hwO1Wo3w8HDk5ubCy8vL3uGQE+A9Q83Fe4aai/cMNRfvGWouR7lnBEGARqNBaGgoxOJrzyJqdxUjsViMTp062TuMK3h5efGNhJqF9ww1F+8Zai7eM9RcvGeouRzhnrlepciMzReIiIiIiKjDY2JEREREREQdHhMjG5PL5ViwYAHkcrm9QyEnwXuGmov3DDUX7xlqLt4z1FzOeM+0u+YLREREREREzcWKERERERERdXhMjIiIiIiIqMNjYkRERERERB0eEyMbWr58OSIiIqBQKBAfH4/U1FR7h0R2snDhQgwePBienp4IDAzExIkTcerUqQb71NbWYvbs2fDz84OHhwfuueceFBYWNtgnJycHEyZMgJubGwIDA/Hcc8+hrq6uLV8K2cGiRYsgEonw9NNPW7bxfqHG5OXl4YEHHoCfnx9cXV3Rt29fHDhwwPK8IAiYP38+QkJC4OrqisTERJw5c6bBOUpLSzF16lR4eXnB29sbDz30ECorK9v6pVAbMBgMeOmllxAZGQlXV1d07doVr732Gi6ffs57pmPbsWMHbr/9doSGhkIkEuHnn39u8Ly17o8jR45g5MiRUCgUCA8Px9tvv23rl9Y4gWxi7dq1gkwmE9asWSMcP35cmDVrluDt7S0UFhbaOzSyg3HjxgmffvqpcOzYMSE9PV0YP3680LlzZ6GystKyz2OPPSaEh4cLycnJwoEDB4ShQ4cKw4YNszxfV1cn9OnTR0hMTBQOHTokbNy4UfD39xfmzZtnj5dEbSQ1NVWIiIgQ+vXrJzz11FOW7bxf6O9KS0uFLl26CDNnzhT27dsnZGZmCr///rtw9uxZyz6LFi0SlEql8PPPPwuHDx8W7rjjDiEyMlKoqamx7HPLLbcI/fv3F/bu3Svs3LlT6Natm3D//ffb4yWRjb3xxhuCn5+fsH79eiErK0v47rvvBA8PD+G9996z7MN7pmPbuHGj8OKLLwo//vijAED46aefGjxvjfujoqJCCAoKEqZOnSocO3ZM+OabbwRXV1fho48+aquXacHEyEaGDBkizJ492/Jng8EghIaGCgsXLrRjVOQoioqKBADC9u3bBUEQhPLyckEqlQrfffedZZ+MjAwBgJCSkiIIgunNSSwWCyqVyrLPihUrBC8vL0Gr1bbtC6A2odFohO7duwtbtmwRRo8ebUmMeL9QY55//nlhxIgRV33eaDQKwcHBwuLFiy3bysvLBblcLnzzzTeCIAjCiRMnBADC/v37Lfts2rRJEIlEQl5enu2CJ7uYMGGC8OCDDzbYdvfddwtTp04VBIH3DDX098TIWvfHhx9+KPj4+DT43fT8888LPXv2tPEruhKH0tmATqdDWloaEhMTLdvEYjESExORkpJix8jIUVRUVAAAfH19AQBpaWnQ6/UN7pno6Gh07tzZcs+kpKSgb9++CAoKsuwzbtw4qNVqHD9+vA2jp7Yye/ZsTJgwocF9AfB+ocb9+uuviIuLw3333YfAwEAMGDAAq1evtjyflZUFlUrV4L5RKpWIj49vcN94e3sjLi7Osk9iYiLEYjH27dvXdi+G2sSwYcOQnJyM06dPAwAOHz6MXbt24dZbbwXAe4auzVr3R0pKCkaNGgWZTGbZZ9y4cTh16hTKysra6NWYuLTp1TqIkpISGAyGBh9IACAoKAgnT560U1TkKIxGI55++mkMHz4cffr0AQCoVCrIZDJ4e3s32DcoKAgqlcqyT2P3lPk5al/Wrl2LgwcPYv/+/Vc8x/uFGpOZmYkVK1Zg7ty5+Pe//439+/fjn//8J2QyGWbMmGH5e2/svrj8vgkMDGzwvIuLC3x9fXnftEMvvPAC1Go1oqOjIZFIYDAY8MYbb2Dq1KkAwHuGrsla94dKpUJkZOQV5zA/5+PjY5P4G8PEiKiNzZ49G8eOHcOuXbvsHQo5qNzcXDz11FPYsmULFAqFvcMhJ2E0GhEXF4c333wTADBgwAAcO3YMK1euxIwZM+wcHTmib7/9Fl999RW+/vpr9O7dG+np6Xj66acRGhrKe4Y6JA6lswF/f39IJJIrOkQVFhYiODjYTlGRI5gzZw7Wr1+PrVu3olOnTpbtwcHB0Ol0KC8vb7D/5fdMcHBwo/eU+TlqP9LS0lBUVISBAwfCxcUFLi4u2L59O/773//CxcUFQUFBvF/oCiEhIYiJiWmwrVevXsjJyQFw6e/9Wr+bgoODUVRU1OD5uro6lJaW8r5ph5577jm88MILmDJlCvr27Ytp06bhmWeewcKFCwHwnqFrs9b94Ui/r5gY2YBMJsOgQYOQnJxs2WY0GpGcnIyEhAQ7Rkb2IggC5syZg59++gl//fXXFSXjQYMGQSqVNrhnTp06hZycHMs9k5CQgKNHjzZ4g9myZQu8vLyu+DBEzm3s2LE4evQo0tPTLY+4uDhMnTrV8v+8X+jvhg8ffsUyAKdPn0aXLl0AAJGRkQgODm5w36jVauzbt6/BfVNeXo60tDTLPn/99ReMRiPi4+Pb4FVQW6quroZY3PCjoEQigdFoBMB7hq7NWvdHQkICduzYAb1eb9lny5Yt6NmzZ5sOowPAdt22snbtWkEulwufffaZcOLECeGRRx4RvL29G3SIoo7j8ccfF5RKpbBt2zahoKDA8qiurrbs89hjjwmdO3cW/vrrL+HAgQNCQkKCkJCQYHne3H755ptvFtLT04XNmzcLAQEBbL/cQVzelU4QeL/QlVJTUwUXFxfhjTfeEM6cOSN89dVXgpubm/Dll19a9lm0aJHg7e0t/PLLL8KRI0eEO++8s9HWugMGDBD27dsn7Nq1S+jevTtbL7dTM2bMEMLCwiztun/88UfB399f+L//+z/LPrxnOjaNRiMcOnRIOHTokABAWLp0qXDo0CHh/PnzgiBY5/4oLy8XgoKChGnTpgnHjh0T1q5dK7i5ubFdd3vz/vvvC507dxZkMpkwZMgQYe/evfYOiewEQKOPTz/91LJPTU2N8MQTTwg+Pj6Cm5ubcNdddwkFBQUNzpOdnS3ceuutgqurq+Dv7y88++yzgl6vb+NXQ/bw98SI9ws15rfffhP69OkjyOVyITo6Wli1alWD541Go/DSSy8JQUFBglwuF8aOHSucOnWqwT4XL14U7r//fsHDw0Pw8vISkpKSBI1G05Yvg9qIWq0WnnrqKaFz586CQqEQoqKihBdffLFB22TeMx3b1q1bG/38MmPGDEEQrHd/HD58WBgxYoQgl8uFsLAwYdGiRW31EhsQCcJlyxsTERERERF1QJxjREREREREHR4TIyIiIiIi6vCYGBERERERUYfHxIiIiIiIiDo8JkZERERERNThMTEiIiIiIqIOj4kRERERERF1eEyMiIiIrGTMmDEYM2ZMq8+TnZ0NkUiEzz77rNXnsobPPvsMIpEI2dnZ9g6FiMhmmBgREVGHsmfPHrz88ssoLy+3dyhERORAmBgREVGHsmfPHrzyyisOnRh16dIFNTU1mDZtmr1DISLqMJgYERGRXRmNRtTW1jb6XFVVVRtH4xhEIhEUCgUkEom9QyEi6jCYGBEROZC8vDw8+OCDCAoKglwuR+/evbFmzZor9qutrcXLL7+MHj16QKFQICQkBHfffTfOnTtn2efixYuYNm0avLy84O3tjRkzZuDw4cMtmrvSlOtVVVXh2WefRXh4OORyOXr27IklS5ZAEIQG5xKJRJgzZw6++uor9O7dG3K5HJs3b7bMY9m+fTueeOIJBAYGolOnTpbjNm3ahJEjR8Ld3R2enp6YMGECjh8/fkWsJ0+exKRJkxAQEABXV1f07NkTL774IgDg5ZdfxnPPPQcAiIyMhEgkumLuzJdffolBgwbB1dUVvr6+mDJlCnJzc6+4zqpVq9C1a1e4urpiyJAh2LlzZ5N/nlu2bMGIESPg7e0NDw8P9OzZE//+978tz19tjtF3332HmJgYKBQK9OnTBz/99BNmzpyJiIiIK45dsmSJJUa5XI7Bgwdj//79Dc535MgRzJw5E1FRUVAoFAgODsaDDz6IixcvNvm1EBG1Fy72DoCIiEwKCwsxdOhQS+IQEBCATZs24aGHHoJarcbTTz8NADAYDLjtttuQnJyMKVOm4KmnnoJGo8GWLVtw7NgxdO3aFUajEbfffjtSU1Px+OOPIzo6Gr/88gtmzJjR7Liacj1BEHDHHXdg69ateOihhxAbG4vff/8dzz33HPLy8vDuu+82OOdff/2Fb7/9FnPmzIG/vz8iIiKQnp4OAHjiiScQEBCA+fPnWypGX3zxBWbMmIFx48bhrbfeQnV1NVasWIERI0bg0KFDlsTgyJEjGDlyJKRSKR555BFERETg3Llz+O233/DGG2/g7rvvxunTp/HNN9/g3Xffhb+/PwAgICAAAPDGG2/gpZdewqRJk/Dwww+juLgY77//PkaNGoVDhw7B29sbAPDJJ5/g0UcfxbBhw/D0008jMzMTd9xxB3x9fREeHn7Nn+fx48dx2223oV+/fnj11Vchl8tx9uxZ7N69+5rHbdiwAZMnT0bfvn2xcOFClJWV4aGHHkJYWFij+3/99dfQaDR49NFHIRKJ8Pbbb+Puu+9GZmYmpFIpAFOClpmZiaSkJAQHB+P48eNYtWoVjh8/jr1790IkEl0zJiKidkUgIiKH8NBDDwkhISFCSUlJg+1TpkwRlEqlUF1dLQiCIKxZs0YAICxduvSKcxiNRkEQBOGHH34QAAjLli2zPGcwGIQbb7xRACB8+umnTY6rKdf7+eefBQDC66+/3uD5e++9VxCJRMLZs2ct2wAIYrFYOH78eIN9P/30UwGAMGLECKGurs6yXaPRCN7e3sKsWbMa7K9SqQSlUtlg+6hRowRPT0/h/PnzjcYpCIKwePFiAYCQlZXVYJ/s7GxBIpEIb7zxRoPtR48eFVxcXCzbdTqdEBgYKMTGxgparday36pVqwQAwujRo6/4OV3u3XffFQAIxcXFV90nKyvrir+nvn37Cp06dRI0Go1l27Zt2wQAQpcuXa441s/PTygtLbVs/+WXXwQAwm+//WbZZr6nLvfNN98IAIQdO3ZYtpn/bv7+MyMiak84lI6IyAEIgoAffvgBt99+OwRBQElJieUxbtw4VFRU4ODBgwCAH374Af7+/njyySevOI/5G/7NmzdDKpVi1qxZlufEYjFmz57d7Niacr2NGzdCIpHgn//8Z4Pnn332WQiCgE2bNjXYPnr0aMTExDR6vVmzZjWYW7NlyxaUl5fj/vvvb/BzkUgkiI+Px9atWwEAxcXF2LFjBx588EF07ty50Tiv5ccff4TRaMSkSZMaXCc4OBjdu3e3XOfAgQMoKirCY489BplMZjl+5syZUCqV172Ouer0yy+/wGg0Xnd/AMjPz8fRo0cxffp0eHh4WLaPHj0affv2bfSYyZMnw8fHx/LnkSNHAgAyMzMt21xdXS3/X1tbi5KSEgwdOhQALPcbEVFHwaF0REQOoLi4GOXl5Vi1ahVWrVrV6D5FRUUAgHPnzqFnz55wcbn6W/j58+cREhICNze3Btu7devW7Niaer3Q0FB4eno22N6rVy/L85eLjIy86rn+/tyZM2cAADfeeGOj+3t5eQG49IG/T58+Vz33tZw5cwaCIKB79+6NPm8efmZ+LX/fTyqVIioq6rrXmTx5Mj7++GM8/PDDeOGFFzB27FjcfffduPfeeyEWN/59pfmajf39devWrdEk5u/JoTlJKisrs2wrLS3FK6+8grVr11ruL7OKiorrvhYiovaEiRERkQMwVw4eeOCBq84D6tevX1uGZFOXVyqu95z5Z/PFF18gODj4iv2vlbA1h9FohEgkwqZNmxrtBnd5paY1XF1dsWPHDmzduhUbNmzA5s2bsW7dOtx44434448/rNaJ7mrnES5rhjFp0iTs2bMHzz33HGJjY+Hh4QGj0YhbbrmlydUsIqL2gokREZEDCAgIgKenJwwGAxITE6+5b9euXbFv3z7o9XpLFePvunTpgq1bt6K6urpB1ejs2bPNjq2p1/vzzz+h0WgaVI1Onjxpeb6lunbtCgAIDAy85s/GXK05duzYNc93tWF15iYSkZGR6NGjx1WPN7+WM2fONKhi6fV6ZGVloX///te8PmAa1jh27FiMHTsWS5cuxZtvvokXX3wRW7dubfQ1mq/Z2N9fS/5OAVPlKDk5Ga+88grmz59v2W6u0BERdTScY0RE5AAkEgnuuece/PDDD41+sC8uLrb8/z333IOSkhJ88MEHV+xnrgaMGzcOer0eq1evtjxnNBqxfPnyZsfWlOuNHz8eBoPhin3effddiEQi3Hrrrc2+rtm4cePg5eWFN998E3q9/ornzT+bgIAAjBo1CmvWrEFOTk6jcQKAu7s7AFyxwOvdd98NiUSCV1555YoW44IgWFpYx8XFISAgACtXroROp7Ps89lnnzVp0djS0tIrtsXGxgIAtFpto8eEhoaiT58++N///ofKykrL9u3bt+Po0aPXvWZjzBWlv7/WZcuWteh8RETOjhUjIiIHsWjRImzduhXx8fGYNWsWYmJiUFpaioMHD+LPP/+0fKCePn06/ve//2Hu3LlITU3FyJEjUVVVhT///BNPPPEE7rzzTkycOBFDhgzBs88+i7NnzyI6Ohq//vqr5RzNacPclOvdfvvtuOGGG/Diiy8iOzsb/fv3xx9//IFffvkFTz/9tKXq0xJeXl5YsWIFpk2bhoEDB2LKlCkICAhATk4ONmzYgOHDh1sSsv/+978YMWIEBg4ciEceeQSRkZHIzs7Ghg0bLO3ABw0aBAB48cUXMWXKFEilUtx+++3o2rUrXn/9dcybNw/Z2dmYOHEiPD09kZWVhZ9++gmPPPII/vWvf0EqleL111/Ho48+ihtvvBGTJ09GVlYWPv300ybNMXr11VexY8cOTJgwAV26dEFRURE+/PBDdOrUCSNGjLjqcW+++SbuvPNODB8+HElJSSgrK8MHH3yAPn36NEiWmvNzHTVqFN5++23o9XqEhYXhjz/+QFZWVrPPRUTULtinGR4RETWmsLBQmD17thAeHi5IpVIhODhYGDt2rLBq1aoG+1VXVwsvvviiEBkZadnv3nvvFc6dO2fZp7i4WPjHP/4heHp6CkqlUpg5c6awe/duAYCwdu3aZsXVlOtpNBrhmWeeEUJDQwWpVCp0795dWLx4cYNW2YJgatc9e/bsK65hbgm9f//+RmPYunWrMG7cOEGpVAoKhULo2rWrMHPmTOHAgQMN9jt27Jhw1113Cd7e3oJCoRB69uwpvPTSSw32ee2114SwsDBBLBZf0Yb6hx9+EEaMGCG4u7sL7u7uQnR0tDB79mzh1KlTDc7x4YcfCpGRkYJcLhfi4uKEHTt2CKNHj75uu+7k5GThzjvvFEJDQwWZTCaEhoYK999/v3D69GnLPo216xYEQVi7dq0QHR0tyOVyoU+fPsKvv/4q3HPPPUJ0dPQVxy5evPiKawMQFixYYPnzhQsXLD8rpVIp3HfffUJ+fv4V+7FdNxF1BCJB+FsNnYiI2q2ff/4Zd911F3bt2oXhw4fbOxyygtjYWAQEBGDLli32DoWIyKlxjhERUTtVU1PT4M8GgwHvv/8+vLy8MHDgQDtFRS2l1+tRV1fXYNu2bdtw+PBhjBkzxj5BERG1I5xjRETUTj355JOoqalBQkICtFotfvzxR+zZswdvvvkmXF1dodPpGm0EcDmlUnnN1trUdvLy8pCYmIgHHngAoaGhOHnyJFauXIng4GA89thj9g6PiMjpMTEiImqnbrzxRrzzzjtYv349amtr0a1bN7z//vuYM2cOAGDPnj244YYbrnmOTz/9FDNnzmyDaOl6fHx8MGjQIHz88ccoLi6Gu7s7JkyYgEWLFsHPz8/e4REROT3OMSIi6qDKysqQlpZ2zX169+6NkJCQNoqIiIjIfpgYERERERFRh8fmC0RERERE1OG1uzlGRqMR+fn58PT0bNYChkRERERE1L4IggCNRoPQ0FCIxdeuCbW7xCg/Px/h4eH2DoOIiIiIiBxEbm4uOnXqdM192l1i5OnpCcD04r28vOwcDRERERER2YtarUZ4eLglR7iWdpcYmYfPeXl5MTEiIiIiIqImTbFh8wUiIiIiIurwmBgREREREVGHx8SIiIiIiIg6PCZGRERERETU4TExIiIiIiKiDo+JERERERERdXhtkhgtX74cERERUCgUiI+PR2pq6jX3Ly8vx+zZsxESEgK5XI4ePXpg48aNbREqERERERF1QDZPjNatW4e5c+diwYIFOHjwIPr3749x48ahqKio0f11Oh1uuukmZGdn4/vvv8epU6ewevVqhIWF2TpUInIyG44UYP4vx1BnMNo7FCIiInJyIkEQBFteID4+HoMHD8YHH3wAADAajQgPD8eTTz6JF1544Yr9V65cicWLF+PkyZOQSqXNvp5arYZSqURFRQUXeCVqx9S1evR7+Q8AwOrpcbgpJsjOEREREZGjaU5uYNOKkU6nQ1paGhITEy9dUCxGYmIiUlJSGj3m119/RUJCAmbPno2goCD06dMHb775JgwGQ6P7a7VaqNXqBg8iav9+Tc+3/H95tc6OkRAREVF7YNPEqKSkBAaDAUFBDb/JDQoKgkqlavSYzMxMfP/99zAYDNi4cSNeeuklvPPOO3j99dcb3X/hwoVQKpWWR3h4uNVfBxE5njOFGsv/l1QyMSIiIqLWcbiudEajEYGBgVi1ahUGDRqEyZMn48UXX8TKlSsb3X/evHmoqKiwPHJzc9s4YiKyh/IaveX/izS1doyEiIiI2gMXW57c398fEokEhYWFDbYXFhYiODi40WNCQkIglUohkUgs23r16gWVSgWdTgeZTNZgf7lcDrlcbv3gicihlVdfSoyKNVo7RkJERETtgU0rRjKZDIMGDUJycrJlm9FoRHJyMhISEho9Zvjw4Th79iyMxktdpk6fPo2QkJArkiIi6rgurxgxMSIiIqLWsvlQurlz52L16tX4/PPPkZGRgccffxxVVVVISkoCAEyfPh3z5s2z7P/444+jtLQUTz31FE6fPo0NGzbgzTffxOzZs20dKhE5kYrLGi4UVzIxIiIiotax6VA6AJg8eTKKi4sxf/58qFQqxMbGYvPmzZaGDDk5ORCLL+Vn4eHh+P333/HMM8+gX79+CAsLw1NPPYXnn3/e1qESkRNhxYiIiIisyebrGLU1rmNE1P4ZjQK6vrgR5ncvkQjIfHM8RCKRfQMjIiIih+Iw6xgREdmCprYOl3+lIwhArd549QOIiIiIroOJERE5nYr6YXQK6aW3sCpdnb3CISIionaAiREROZ3yGlPjBR83Gdxkptb+1VqDPUMiIiIiJ8fEiIicjnkNI6WrFG4yUw8ZVoyIiIioNZgYEZHTMXek83aTwl1eXzFiYkREREStwMSIiJyOeQ0jb1cZXKXmxIhD6YiIiKjlmBgRkdMxD6UzVYzqh9JxjhERERG1AhMjInI65qF0SjfppeYLHEpHRERErcDEiIicjqVi5CqDu6X5AitGRERE1HJMjIjI6VTUt+v2dpPCzdx8QcuKEREREbUcEyMicjqXKkaXD6VjxYiIiIhajokRETkdyxwjV6llKB3nGBEREVFrMDEiIqdT0aD5AucYERERUesxMSIipyIIAios7bpllxZ45RwjIiIiagUmRkTkVGr0BugMRgDmOUasGBEREVHrMTEiIqdibrwglYjgJpNwHSMiIiKyCiZGRORUzImR0lUGkUjErnRERERkFUyMiMiplF+2hhEAuMvru9JpmRgRERFRyzExIiKnUnHZGkYALBWjKg6lIyIiolZgYkRETsW8htEVFSMOpSMiIqJWaJPEaPny5YiIiIBCoUB8fDxSU1Ovuu9nn30GkUjU4KFQKNoiTCJyAuY5Rl71FSNXaX3FiO26iYiIqBVsnhitW7cOc+fOxYIFC3Dw4EH0798f48aNQ1FR0VWP8fLyQkFBgeVx/vx5W4dJRE7CMsfIVQbgUsVIW2eEwSjYLS4iIiJybjZPjJYuXYpZs2YhKSkJMTExWLlyJdzc3LBmzZqrHiMSiRAcHGx5BAUF2TpMInIS6r8NpTPPMQLYspuIiIhazqaJkU6nQ1paGhITEy9dUCxGYmIiUlJSrnpcZWUlunTpgvDwcNx55504fvz4VffVarVQq9UNHkTUfpmH0pkTI7mLGBKxCADnGREREVHL2TQxKikpgcFguKLiExQUBJVK1egxPXv2xJo1a/DLL7/gyy+/hNFoxLBhw3DhwoVG91+4cCGUSqXlER4ebvXXQUSO49I6RqbE6PK1jDjPiIiIiFrK4brSJSQkYPr06YiNjcXo0aPx448/IiAgAB999FGj+8+bNw8VFRWWR25ubhtHTERt6VJXOpllGxd5JSIiotZyseXJ/f39IZFIUFhY2GB7YWEhgoODm3QOqVSKAQMG4OzZs40+L5fLIZfLWx0rETmHimpz8wWpZZu7zAWAlhUjIiIiajGbVoxkMhkGDRqE5ORkyzaj0Yjk5GQkJCQ06RwGgwFHjx5FSEiIrcIkIify93WMAMBNXl8x0rNiRERERC1j04oRAMydOxczZsxAXFwchgwZgmXLlqGqqgpJSUkAgOnTpyMsLAwLFy4EALz66qsYOnQounXrhvLycixevBjnz5/Hww8/bOtQicjBaesMluFyyssqRm6y+kVetUyMiIiIqGVsnhhNnjwZxcXFmD9/PlQqFWJjY7F582ZLQ4acnByIxZcKV2VlZZg1axZUKhV8fHwwaNAg7NmzBzExMbYOlYgcXEV9tUgkAjwVlw+lM1WMKrV6u8RFREREzs/miREAzJkzB3PmzGn0uW3btjX487vvvot33323DaIiImdTUd+RzkshtbToBi4lSZpazjEiIiKilnG4rnRERFfT2PwiAPByNX3Ho2ZiRERERC3ExIiInIa5YnR5Rzrg8ooRh9IRERFRyzAxIiKnYa4Yef0tMfKqT4zUNawYERERUcswMSIip2GuCHkp/l4xcmnwPBEREVFzMTEiIqdhbq5gToTMLiVGrBgRERFRyzAxIiKnYa4I/T0xMg+tU7NiRERERC3ExIiInMalitHf5xixYkREREStw8SIiJzG1YfSsSsdERERtQ4TIyJyGuqrNF+wdKWrrYMgCG0eFxERETk/JkZE5DSu13zBYBRQoze0eVxERETk/JgYEZHTuNR8oWHFyE0msfx/lZaJERERETUfEyMichpXqxiJRCLIJKa3M53B2OZxERERkfNjYkRETuNqc4wAQOZSnxjVMTEiIiKi5mNiREROQW8wolZvSnr+XjECmBgRERFR6zAxIiKncPkaRR6NJEZyJkZERETUCkyMiMgpmBsvuEolkEqufOuyVIwMbL5AREREzcfEiIicwtUaL5iZmy9oWTEiIiKiFmBiREROQW1p1X2VxMiFiRERERG1HBMjInIKlypGV3akA9h8gYiIiFqHiREROYWmDqVjYkREREQt0SaJ0fLlyxEREQGFQoH4+HikpqY26bi1a9dCJBJh4sSJtg2QiBye5hprGAGAXCoBwMSIiIiIWsbmidG6deswd+5cLFiwAAcPHkT//v0xbtw4FBUVXfO47Oxs/Otf/8LIkSNtHSIROYEmV4wMTIyIiIio+WyeGC1duhSzZs1CUlISYmJisHLlSri5uWHNmjVXPcZgMGDq1Kl45ZVXEBUVZesQicgJaK7TfIHrGBEREVFr2DQx0ul0SEtLQ2Ji4qULisVITExESkrKVY979dVXERgYiIceeui619BqtVCr1Q0eRNT+NLX5graO6xgRERFR89k0MSopKYHBYEBQUFCD7UFBQVCpVI0es2vXLnzyySdYvXp1k66xcOFCKJVKyyM8PLzVcROR42HzBSIiIrIlh+pKp9FoMG3aNKxevRr+/v5NOmbevHmoqKiwPHJzc20cJRHZw6V1jNium4iIiKyv8a9ercTf3x8SiQSFhYUNthcWFiI4OPiK/c+dO4fs7Gzcfvvtlm1Go+lDjouLC06dOoWuXbs2OEYul0Mul9sgeiJyJNerGJnnGGnZfIGIiIhawKYVI5lMhkGDBiE5OdmyzWg0Ijk5GQkJCVfsHx0djaNHjyI9Pd3yuOOOO3DDDTcgPT2dw+SIOrDrNV9gxYiIiIhaw6YVIwCYO3cuZsyYgbi4OAwZMgTLli1DVVUVkpKSAADTp09HWFgYFi5cCIVCgT59+jQ43tvbGwCu2E5EHYu5YnS1dYyYGBEREVFr2Dwxmjx5MoqLizF//nyoVCrExsZi8+bNloYMOTk5EIsdaqoTETmgpiZGWiZGRERE1AI2T4wAYM6cOZgzZ06jz23btu2ax3722WfWD4iInIreYESN3tSGm13piIiIyBZYqiEih1dZXy0CAA8u8EpEREQ2wMSIiByeeRidq1QCqaTxty25iwQAoGNXOiIiImoBJkZE5PDU1+lIB7D5AhEREbUOEyMicnjXW8MIYGJERERErcPEiIgc3qU1jBrvSAdcar6grTO0SUxERETUvjAxIiKH15yKEdt1ExERUUswMSIih2euGF1tDSPgsqF0bL5ARERELcDEiIgcXlMqRmzXTURERK3BxIiIHJ5Gy+YLREREZFtMjIjI4TWl+YKcQ+mIiIioFZgYEZHDUzel+YLEtMCrVs/EiIiIiJqPiRERObxLc4zYfIGIiIhsg4kRETm8S0Pprj/HyGAUYDAKbRIXERERtR9MjIjI4TWnKx3ABgxERETUfEyMiMjhNWcdI4CJERERETUfEyMicnjqmutXjFzEIohEpv/XGgxtERYRERG1I0yMiMih6Q1G1OhNic61mi+IRCLIJKa3NHamIyIiouZiYkREDq2yfn4RcO2KEcDOdERERNRyTIyIyKGZGy+4SiWQSq79lmVZ5JVzjIiIiKiZmBgRkUNTN6FVt5ncxbTIKxMjIiIiaq42SYyWL1+OiIgIKBQKxMfHIzU19ar7/vjjj4iLi4O3tzfc3d0RGxuLL774oi3CJCIHVF5tSox83GTX3ZdD6YiIiKilbJ4YrVu3DnPnzsWCBQtw8OBB9O/fH+PGjUNRUVGj+/v6+uLFF19ESkoKjhw5gqSkJCQlJeH333+3dahE5IDKqnUAAG+3qzdeMDM3X2DFiIiIiJrL5onR0qVLMWvWLCQlJSEmJgYrV66Em5sb1qxZ0+j+Y8aMwV133YVevXqha9eueOqpp9CvXz/s2rXL1qESkQMqr0+MmlUxYmJEREREzWTTxEin0yEtLQ2JiYmXLigWIzExESkpKdc9XhAEJCcn49SpUxg1alSj+2i1WqjV6gYPImo/yuqH0jWpYlSfGGnruI4RERERNY9NE6OSkhIYDAYEBQU12B4UFASVSnXV4yoqKuDh4QGZTIYJEybg/fffx0033dTovgsXLoRSqbQ8wsPDrfoaiMi+Lg2la0LFyLyOEStGRERE1EwO2ZXO09MT6enp2L9/P9544w3MnTsX27Zta3TfefPmoaKiwvLIzc1t22CJyKYuNV+4fsVILuVQOiIiImqZ6/e/bQV/f39IJBIUFhY22F5YWIjg4OCrHicWi9GtWzcAQGxsLDIyMrBw4UKMGTPmin3lcjnkcrlV4yYix1HWnDlGEnalIyIiopaxacVIJpNh0KBBSE5OtmwzGo1ITk5GQkJCk89jNBqh1WptESIRObiWzDFixYiIiIiay6YVIwCYO3cuZsyYgbi4OAwZMgTLli1DVVUVkpKSAADTp09HWFgYFi5cCMA0ZyguLg5du3aFVqvFxo0b8cUXX2DFihW2DpWIHJClK507u9IRERGR7dg8MZo8eTKKi4sxf/58qFQqxMbGYvPmzZaGDDk5ORCLLxWuqqqq8MQTT+DChQtwdXVFdHQ0vvzyS0yePNnWoRKRAyqtavpQOrkLmy8QERFRy9g8MQKAOXPmYM6cOY0+9/emCq+//jpef/31NoiKiBydrs4ITW0dAMCvKRUjLvBKRERELeSQXemIiIBLw+jEIkDp2pSudBIAbL5AREREzcfEiIgc1sXLhtGJxaLr7s+KEREREbUUEyMiclhlVU1vvABcar7AOUZERETUXEyMiMhhmStGvs1MjFgxIiIiouZiYkREDsu8uKtvEzrSAZeG0mnrDDaLiYiIiNonJkZE5LAuVtYnRh6sGBEREZFtMTEiIofV3IqReR0jdqUjIiKi5mJiREQOi3OMiIiIqK0wMSIih1XWzMRIzsSIiIiIWoiJERE5rNKWVow4lI6IiIiaiYkRETmsZidGEgkAQKtnYkRERETNw8SIiBySIAiXmi+wYkREREQ2xsSIiBySRlsHvUEAwDlGREREZHtMjIjIIZXWr2HkJpNAIZU06RhzxUjLxIiIiIiaiYkRETmk0vphdD5NXMMIuLxdt8EmMREREVH7xcSIiBxSc1t1A4BMwjlGRERE1DJMjIjIIZVX6wEA3m7SJh8jv2wonSAINomLiIiI2icmRkTkkMprTImR0rXpiZF5KJ0gAHVGJkZERETUdEyMiMghVdS0pGJ0qUkDO9MRERFRczAxIiKHVFHffMHbtfnNFwAmRkRERNQ8bZIYLV++HBEREVAoFIiPj0dqaupV9129ejVGjhwJHx8f+Pj4IDEx8Zr7E1H71JKhdBKxCBKxCAAbMBAREVHz2DwxWrduHebOnYsFCxbg4MGD6N+/P8aNG4eioqJG99+2bRvuv/9+bN26FSkpKQgPD8fNN9+MvLw8W4dKRA7EPJRO2YyhdMBlnelYMSIiIqJmsHlitHTpUsyaNQtJSUmIiYnBypUr4ebmhjVr1jS6/1dffYUnnngCsbGxiI6Oxscffwyj0Yjk5GRbh0pEDsTcla45FSPg8kVeuZYRERERNZ1NEyOdToe0tDQkJiZeuqBYjMTERKSkpDTpHNXV1dDr9fD19W30ea1WC7Va3eBBRM7P0nyhxYkRK0ZERETUdDZNjEpKSmAwGBAUFNRge1BQEFQqVZPO8fzzzyM0NLRBcnW5hQsXQqlUWh7h4eGtjpuI7O9SV7qmN18ALq1lxKF0RERE1BwO3ZVu0aJFWLt2LX766ScoFIpG95k3bx4qKiosj9zc3DaOkoiszWgULs0xamHFiIkRERERNYeLLU/u7+8PiUSCwsLCBtsLCwsRHBx8zWOXLFmCRYsW4c8//0S/fv2uup9cLodcLrdKvETkGEqrdTAYBYhEgJ9H8ypGluYL7EpHREREzWDTipFMJsOgQYMaNE4wN1JISEi46nFvv/02XnvtNWzevBlxcXG2DJGIHJCqohYA4Ocuh1TSvLcpDqUjIiKilrBpxQgA5s6dixkzZiAuLg5DhgzBsmXLUFVVhaSkJADA9OnTERYWhoULFwIA3nrrLcyfPx9ff/01IiIiLHORPDw84OHhYetwicgBFKpNiVGQV/OrwWy+QERERC1h88Ro8uTJKC4uxvz586FSqRAbG4vNmzdbGjLk5ORALL70jfCKFSug0+lw7733NjjPggUL8PLLL9s6XCJyAKr6xCjYq/G5hdfCOUZERETUEjZPjABgzpw5mDNnTqPPbdu2rcGfs7OzbR8QETm0wvqhdEHKFiRGXOCViIiIWsChu9IRUcfUmoqR3EUCANCy+QIRERE1AxMjInI4KrUWAIfSERERUdthYkREDqdI3YqhdEyMyMHU6g24WKm1dxhERHQdTIyIyOGorNKVzmDVmIhaYs+5Eox4ayuGvJmMFdvO2TscIiK6BiZGRORQavUGlFfrAbRwKB2bL5CDOFukwaNfpKGkUguDUcA7f5xCRf29zfuTiMjxtElXOiKipjKvYSR3EUPpKm328VzglezJaBTw1u8n8dPBPBRXaiEIQFwXHxRU1CKvvAbfpeVif3Yptp4sxvKpA3FTTJC9QyYionpMjIjIoajqW3UHKxUQiUTNPt6SGLErHbWhKm0dPt6ZhQPnS7HzTIlle88gT6ycNgj/25ON//51Fq9vyLA899r6ExjTMwBSCQdvEBE5AiZGRORQLs0vav4wOoDNF6jtnSnU4JEv0pBVUmXZdv+QzkgaHoFuAR4Qi0V4aEQU/jhRiJMqDaL83VFRo0dOaTW+PZCLqfFd7Bg9ERGZMTEiIodSUqkDAAR6Nr/xAsDEiNqOIAioqNHjia8OWpKiCD83jOoRgH+P7wWFVGLZV+kmxc+zh+NccSWig73wv5RsvPLbCbyffBb3DOzUYF8iIrIPJkZE5FDKqkyJka+7rEXHm5svcIFXsiVBEPDMunT8nJ4PAPBzl+GPZ0bBz+PqCb1CKkHvUCUA4B/xnbF6RybyK2rx5d7zeHhkVJvETUREV8eBzUTkUEqrTYmRj1sLEyMX0zfvWj0TI7KdDUcLLEkRACyZ1P+aSdHfyV0keDqxBwBg+daz0NTqrR4jERE1DxMjInIora4YsfkC2VhplQ4LfjkOALihZwDWPzkCN/QMbPZ57h4Yhih/d5RV67FmV7aVoyQiouZiYkREDqXMXDFqYWJ0qV03F3gl21i4MQMXq3ToGeSJj6bFoU+YskXncZGI8cxNpqrRx7syUavnPUtEZE9MjIjIoZRVmYYU+bZ4KB2bL5D16eqM2HOuBJnFlfjtiGkI3et39bHcby01oW8IQpQKaGrrsON0sTVCJSKiFmLzBSJyKOY5Rt5uzV/cFeBQOrK+tPOleOGHozhTVGnZ5u8hQ1wXn1afWywWYXzfEHyyKwtf7svBTTFBLVq/i4iIWo8VIyJyGIIgtHqOkVzCihFZT0aBGvetTGmQFAFAfJSf1RKYf8R3hotYhB2ni3H3ij0oqdRa5bxERNQ8TIyIyGFUautQZxQAtKYrXX27biZGZAXv/3UGRgEI83bF04ndLdunDA632jW6Bnjg3+N7QSQCDuWU46m1h6x2biIiajoOpSMih2GeX+QqlcBV1rIFL+X17bpZMaLWqjMYsf2Uad7PigcGok+oEt6uUvQOU2JwhK9Vr/XgiEgMjfLDbe/vxO6zF3GmUIPuQZ5WvQYREV0bK0ZE5DDM84taOowOABRS09saO3xRa50oUKNKZ4CnwgW9Q5UQi0WYOTzS6kmRWUyoF8b2CgIA/Ho4/zp7ExGRtbVJYrR8+XJERERAoVAgPj4eqampV933+PHjuOeeexAREQGRSIRly5a1RYhE5ADM84ta2ngBABRSU8WohokRtdLWk6Zq0ZAIX0jEbdMQIbGXaT2kfVmlbXI9IiK6xOaJ0bp16zB37lwsWLAABw8eRP/+/TFu3DgUFRU1un91dTWioqKwaNEiBAcH2zo8InIgZVaoGJmH4NXqjTDWz1ciag6jUcCS30/h3T9PAwBu6x/SZteOq69GpeeWQ8u1uIiI2pTNE6OlS5di1qxZSEpKQkxMDFauXAk3NzesWbOm0f0HDx6MxYsXY8qUKZDL5bYOj4gcSGl9xailjRcAwO2yuUlswEDNpTcY8fS6dHyw9SwAICbEC3f0D2uz60f5u8PfQwZdnRGprBoREbUpmyZGOp0OaWlpSExMvHRBsRiJiYlISUmx5aWJyAlZo2KkcLmUGFXr6lodE3UctXoDHv0iDb8ezoeLWIQFt8fg+8cT2mwYHQCIRCLcFGMaLfFLOucZERG1JZsmRiUlJTAYDAgKCmqwPSgoCCqVyirX0Gq1UKvVDR5Eba2iRo/92aUcutVKpfVd6VpTMRKLRZDXt+zmPCNqjme/O4y/ThZB7iLG6ulxSBoeCTdZ2zdvnRgbCgDYfEzFJiJERG3I6bvSLVy4EEql0vIID7fe2hJETbH1ZBFGLPoL961Mwbwfj0IQmBy1VHl9xcjHveXNF4DL5xnxQyU1zY7TxdhwpAASsQifPzgEN0QH2i2WwRG+CPN2RaW2DskZjc/HJSIi67NpYuTv7w+JRILCwsIG2wsLC63WWGHevHmoqKiwPHJzc61yXqKmKNLU4vGv0qDRmoZsrTuQi4M5ZZbnzUlSlZZDuprCGnOMAMDN3JlOxzlGdH2CIFgaLcxIiMDQKD+7xiMWi3BnfdVo9c5MftlCRNRGbJoYyWQyDBo0CMnJyZZtRqMRycnJSEhIsMo15HI5vLy8GjyI2sqXKedRqzeiT5gX7uhv+iDz/A9H8eG2s3j++yPoNX8z7vxgF3ov+B2TPkrBzjPFdo7YsZkTo9bMMQIAhYwtu6npVmw/h0M55ZC7iPHYmCh7hwMAmDksAm4yCdJzy/HRjkx7h0NE1CHYfCjd3LlzsXr1anz++efIyMjA448/jqqqKiQlJQEApk+fjnnz5ln21+l0SE9PR3p6OnQ6HfLy8pCeno6zZ8/aOlSiZlt/pAAA8Miorpga3xkAcLaoEm9vPoV1B3JRqzfi8IUKAEBqVike+vwA8str7Bavo1OpawEAQV6t60jpWl8xYvMFup5TKg2W/mGqFv3nthgEeirsHJFJoJcCL9waDQBY/PspFNb/2yAiItuxeWI0efJkLFmyBPPnz0dsbCzS09OxefNmS0OGnJwcFBQUWPbPz8/HgAEDMGDAABQUFGDJkiUYMGAAHn74YVuHStQseeU1yCypglgEjOkZgCGRvpbhL5eTuYjx5I3d0DXAHbo6o6UNMDVUrauDptaUyAR6te7DqTkx4hwjup5FmzJQZxRwc0wQpg3tYu9wGpieEIG4Lj4wGAX8eDDP3uEQEbV7bdJuZ86cOZgzZ06jz23btq3BnyMiIjiempzCnrMlAID+4d7wUpiaBbxzX39MjgtH71Al5FIxdAYjBCOgdJNiRDd/TF61Fz8evID/G9cT3q2cR9PeFKq1AEzrEHnKW/fW5MqhdNQEB3PKsPVUMSRiEV6c0Mve4TTqvrhOOHC+DJ/vycaMYV3gKpVAJGq79uFERB2J03elI7KXjAINAGBgZx/LNheJGMO6+UPpJoVCKoGXQgqlmylpGhLpi5gQL9TqjVizK8suMTsyVYV5GJ2i1R/8XNl8gZrg3S2mIXT3DuyELn7udo6mcXfGhiFUqYBKXYuY+b/joc8PwMBlAYiIbIKJEVELnSuuBAB0C/Ro0v4ikQhP3tgNAPDJriwO8/qbIo115hcBrBjR9aVmlWLnmRJIJSLMqf936YgUUgmeuamH5c9/nSzCFynZ9guIiKgdY2JE1ELmxKhrQNMSIwC4pU8wQpUKVOkM2Jt50VahOSVzxSi4lfOLgMsrRmy+QFeq1Ruw4NfjAIBJceEI93Wzc0TXdvfAThjU5VJlektG4TX2JiKilmJiRB2e0Sjg452ZePGno6jRNa3CUKMzIK++u1zXgKYPwRGJRBjdMwAAsP00W3df7nxpNQAgxNu11edSSFkxoqv7JjUHGQVq+LnL8FRid3uHc10SsQjfPZqATU+NBAAcyC6Dto73NhGRtTExog5vze4svL4hA1/ty8Fne7KbdEyGSg1BMK234+fRvKFfo3vUJ0anmBhdLqNADQCIDvZs9bncZJxjRI3TG4z4cu95AMBTid0dpj339YjFIkQHe8LfQw5tnREf7+Q8RSIia2NiRB2aIAj4el+O5c9vbT6Jvgt+x+Hc8msety+zFAAaDG9pqmHd/OEiFiGzpAo5F6ubfXx7ZDQKOKUyNbOICWn9Is1cx4gaU1KpxbRP9uFccRU85S64a0CYvUNqFpFIhCfGdAVgahzB9w8iIutiYkQd2tG8CmSWVEEqEaFPmOkDuUZbh9lfH2y0OcK54kpsPqbCdwdyAQAJUX7NvqaXQoqB9QnVjjOsGgGmYXTVOgNkLmJE+re+O5iHwtTuW6NlYkSXvLXpJPZmlkIiFuHdybHwrG+z70yShkdgZHd/1BkFrNh+zt7hEBG1K0yMqEP7+VA+AGBc72B8PWsonq6fb3ChrAbPfnvYkhwZjAJ2ny3Bbf/dhce+TLMkUzdGB7boukPrE6pDOeWtfxHtQE79/KJIP3e4SFr/tmT+wGteMJboYqUWvxw2/XtfNW0QEmOC7BxRy4hEIjxeXzVafySf3S2JiKyoTRZ4JXJE2joDfq3/oDQxNgxeCimeTuyBAE85XvzpGDYcLYDcRYybewdj4aYMnL9s2Eq/TkrMu7UXIlpY3YgNVwIADl8ob/XraA9KNKbFXQOt0KobALzMFaNavVXOR87vm9Qc6OqM6N9J2eIvNBzF0Eg/hCgVKKioxa/p+Zg0ONzeIRER8aVmMwAAoU9JREFUtQtMjKjD+uVQPkoqtQjykmNUfUMEAPjHkM6o0tbhzY0n8eOhPPx4KA8AIJOIcWvfYLx8e2/4uMtade3+nbwBmIbmVVTrLYvAdlTFlabEKKCZjSyuhhUjulza+TIs32oadjZzeESrFxC2N7FYhBnDIrBo00m8sTEDN/cOgrdb696TiIiIQ+moA8ovr8Gdy3fj/344AgB4aEQkZC6X/imIRCI8MqorHh0dZdl2z8BOSH1xLN6bMqDVSREA+HnI0SPIA4IA/HI4r9Xnc3bF9RWjAE9rJUasGJGJ3mDEc98fRo3egKFRvpjQN9TeIVnFwyMiER3siYoaPVbtyLR3OERE7QITI+pQNLV6PPDxPkvXuTBvV0wbGtHovnNv6oFZIyPxzn398c6k/lb/RvaBoV0AAKt2ZHb47mnWToy8WDGiel/vy0FmcRX83GVYNT2uwZcgzsxFIrbMifzxYB4EQbBzREREzq99/IYgaqJ3t5xBZkkVAOCuAWFYPT0OrvVr3vyd3EWCFyfE4J5BnWwSy72DOiHM2xUXymqwYlvH7i5lq4pRtc6AOgPXMuqIzhZVYvOxAizadBIA8PRNPSwJc3sxpmcg5C5iqNS1OFdcae9wiIicHhMjO8srr8HmYypU1HDIj60VVNTgy32mhR3/9+AQvDs5FjGhrV8zp6XcZC54cUIvAMD7f53F5mMFdovF3kqsPMfI3K4bYNWoIyqoqMH4/+7EY18eRI3egKgAd0xphw0KFFIJhkT6AgC+3Jtznb2JiOh6mBjZULWuDl+kZENVUQsAOKlS444PduHGJdvw3+QzOJBdintX7MFjX6bhlmU7cLH+wyFZX53BiDc2ZEBXZ8SQCF+M7O5v75AAmNqEd/FzAwA89uVB/HTogp0jso+i+oqRv5UqRlKJ2LLIKxOjjueX9Hzo6kyVQolYhJdui4HUCm3gHdHUeNOQ3M/2ZOOr+i9+iIioZdrnbwoHseN0CV765TgSFiVjyqoU3LJsJ45cMC0ounTLady7MgUF9UlTQUUtnvn2MIxGjhO3tlq9AQ9+fgDrj5gqMnNv7uEwXakkYhHWzByMxF6m9sHPfXcERzpYC29Nrd5SMQ31drXaec3D6dRswNChrD+Sbxk+N/+2GBx4MRE39HTu9tzXckufYMy9qQcA4M0NGajkosZERC3GxMiG5C5iDOzsDUEA9maWXnWfV+7oDYVUjB2ni3H7B7uw4UgBDEYBVfwFZxXL/jyDHaeL4SqV4J37+lsWV3UUXQM8sGpaHBJ7BaLOKGDt/lx7h9Sm8sprAAA+blJ4yK23gsClznT8d9RRnC2qxNxvDwMA+oR54d64TlbpIunonryxGyL93VGlM2B9/dpsZF1HL1RgxFt/YcRbf2H6mlTU6AxIzSpF4tLteHvzSX6pSdROcB0jG7ohOhA3RAfiRL4aPxy8gD9OqPCfCTGICfFCsFKBLScK0TPYE10DPOAqleD/fjiC4/lqzP76IDwVLtDU1uGBoZ0xNb4LSqt0OHKhAnszL+LpxO4Y0NnH3i/PKZxUqfHxTlMr2/emxOLm3sF2jqhx5nVJ/swowuZjKrx6R2+4tNOhP3+XW2pKjDr5uFn1vEpX00T7ihqdVc9Ljml/dimmfbIPujojRnb3x+dJQyAWO0Zl2NZEIhHuHxKONzeexMrt53DPoE7tduigrRmNAv7MKIRREOAud0FplQ7jegdj1v8OQKU2jfC4UFaDRZsy8OOhPGhq63C2qBJ+HnI8NCLSztETUWsxMWoDMaFeiAmNwUu3xTTYPr5viOX/74vrhBq9AUcuVGDTsQLLt9xf7s25YlLtwfNl+OaRoegTprR98E7MaBQw78ejqDMKuKV3sMMmRWYJUX5wl0lQWqXDueIq9Az2tHdIbeJCWTUAINzXesPoACDISwEAKFRz7l57l1VShZlrUlGrN0IqEWH+bTEdJiky+0d8F3y0PRPZF6vxx/FCTOgXcv2D6Aqv/HYcn6c0nKs1qIsPVOpaKF2lGNDZG9tOFV+xz7I/TyO3tBobjhagWKPFzTFBGBLpi4dHRoGcgyAI+DOjCJ/sykR0sBd0BiNiQrwsS2tQx8DEyEGIRKaKAQA8N64nDuWUIbesGhuPqpBTWg0fNyn8PORIzSqFRluH+1fvxZAIXxRU1CI6xBMju/tDKhFjTM9Aqw5HcmY/p+fhUE45POQuePmO3vYO57pcJGJEh3gh7XwZMgrUHSgxsk3FyJwYmb/lpfbr3S2nUaUzoFeIF965rz+6B3WMfzuX85C7YNLgcKzYdg4/p+cxMWqG1KxSvPDDEctSDn+Xdr4MgGnI4uTB4bjjg93IKqlCt0APfPtoAh78bD/Sc8vx2Z5syzF/nCjEHycKERvujbgI37Z4GdQCJ/LVeHNjBkqrdDh/sQpVOgOAhtMfckqrMa53EHqHKqGQNr68x/VoavWQuYghd5FAVVGL9UfyMWVIZ9TqDfBzlznMvGdqo8Ro+fLlWLx4MVQqFfr374/3338fQ4YMuer+3333HV566SVkZ2eje/fueOuttzB+/Pi2CNUhBCsVuLW+mvTIqK4NnrMsUHqhAskniwAAJwrU+PFgHgCgZ5AnPpkZZ/UPmc5GEAR8ujsbAPD4mK4IVirsG1AT9QrxNCVGKjUmIsze4dicIAjYcboYANAtwMOq5zb/nZu7QlL7tP5IPn47YppXs/jefnZtwW9vE/qGYMW2c9hyohAfbT+HR0d3vf5BHVyhuhaPf5mGi1WXhtxOiuuEHkGeiPR3x4fbziHtfBlu6BmAaQldIHeR4MfHh2HzcRVujgmCr7sMq6fHYfbXB5GaVYq+YUoUqmstnTbvXZmCIZG+6OTjiq4BHjh/sQqa2joEKxW4oWcgRvUIsCzOyw/HtldWpUP6hXJIRCIM6OyNl389jtTsS0mQQipGlL8HjIKAkyoNANMi7Kt2ZDZriG61rg4PfrYfRy5UoM4oQFdnhL+HDHcNCMOGIwXIr6jF6xsyAADPJPbAU/WLNZP92TwxWrduHebOnYuVK1ciPj4ey5Ytw7hx43Dq1CkEBl7ZKWjPnj24//77sXDhQtx22234+uuvMXHiRBw8eBB9+vSxdbgOz1Mhxf8eisdH28/hYqUOw7r5YevJIpwrrkJBRQ1OFWpw67KdeGdSf4cfOmZLH+/MwtG8CsgkYtw/pLO9w2myXiGmD3UZBRo7R9I20s6X4UxRJdxkEtza17r3a0h9YlRQUWPV85Lj2HKiEP/85hAEAZg5LKLDDy/uHeqFaUO74Iu957Hkj1MY2ysI3QKt+4VDe/N/3x/BxSodOvu64bZ+IQj0lGNaQgQk9R9+b4wORF55DUKVrpYPxD7usga/VwI85fj20QRUaevgXj9iI6+8Bre8uwMabR1Ss0qRmnXltT/dnY2YEC9U1OihrtHjtv4h6OTjBqWrFBU1evx+XAWJWIQanQGlVToM7+aPf8R3xmBWoFqkWKPFfSv3IPti9RXPvTaxD/qFKREd4gm5i6kqJAgC/rk2Hb/VNzTZeaYEt7y3Aw+PjMKkuGuvi/bmxowrmm6VVOqweueVN8K7f57G2F6BCPV2xdaTRVi4KQNBXgpM6BeCgZ19EB/pix1nSvD7cRWqtHWQiESYOCAMo3oEtPRHQdcgEsxfVdhIfHw8Bg8ejA8++AAAYDQaER4ejieffBIvvPDCFftPnjwZVVVVWL9+vWXb0KFDERsbi5UrV173emq1GkqlEhUVFfDy6ljfHOaX1+CRLw7gWJ4a3m5S/PXsGPh2gI5Mf1erN2Dw639Co63Dfyb0cqox3mnnS3HPihSEKBVImTfW3uHY3JpdWXh1/QmM6x2Ej6bFWfXcezMvYsqqvYj0d8fWf42x6rnJvrR1Brz62wl8tc80//LugWFYfG9/y4fZji7p01RsPVWMW/sEY8UDg+wdjsM6XajBze/ugEQswu9Pj7J6ErnjdDFW7chEgKcc6ho9vFyliPBzh4tEhAPZpdh2uhgt+QT22OiueOHWaKvG6oiqtHVYsysLGm0d7h4YhkBPBfLLa9ArxAvH8yvQLdADBqMAT4Wp0c6ecyU4kF2G8X2D0S3w0nDa3NJq1OgNeGZdOo7nq6+4TtLwCCy4vfHh9oIgQG8QsP5IPl748ahlfbSoAHcsvrc/vkjJtlSFBkf44o27+uBCWQ1ufW8H9AYBr03sg9hO3qgzGnGhrAZf7j0PTW0dBnT2Rtr5MktVqiXGRgdCIhahs68bHh3dFQFWWgewPWpObmDTipFOp0NaWhrmzZv3/+zdd3RU1d7G8e9Meu+dhNB7b9JBoqBYsHcRe8Grol7Fq2JHveprF3tFsVx7RwTpvfcaAgnpJJNeZs77xyQDgdCTTCZ5PmtlLebMmTl7wsnMPGfv/duObWazmaSkJBYtWlTrYxYtWsSkSZNqbBs9ejTff/99fTa1SYgN9uHb2wZz3uvz2ZxewGeLd3PHyLbN7svCnC2ZFJRVEhPkzfWDXatKUNsI+5v5vvxSCkorHG/4TVVKrv3KXWK4X50/98E9RoZhaJhKE5FTWMbV7y9l0z77F5yh7cJ57qLuze597mgmnt6W2Vuy+G19OhM/X8mrl/dqdsUojmVffgmXvm3/HjKyQ2S99KwNax9x1Kv62zIK2JBmITLAiw1pFp77fTOVB5X9DvXzpF9iCJf2jaewrJLvV6Uye0sWb8/dQdtIf0orrAxoFXrUOXVWm+GSfxsVVhtXvbeE1XvyAHh33k7cTCYqbQbeHmZKK2yOfa/on8CEwYlc9+EyyittvDN3J69d2YttGQW89vf2Gks2hPl58s1tgwjy8eDf36whv6SCe6rWAauNyWTC093Ehb1bMKhNONP+2cEni5LZmVXERW8trLFvSm4xfl5u/LounQqrQfcWQVw9IMHx2dMrIYRze8TWeExWQRljX53nGHoJ0CLEh8gAL4rLrWzLLMRadU70SwxhdJdoflqTVmM6BcDcbVl8d/tgR4+lnLx6/Q1mZ2djtVqJioqqsT0qKorNmzfX+pj09PRa909PT691/7KyMsrKDpxQFsvhVwOaE093M7cOb8PdX67mpZlbeWnmVh45p3OzKiP6ZdU6QOf1iHW5LwNBvh5EBHiRVVDGjqwiesYHO7tJ9So5xz7ZOTGsPoKRDx5uJkorbKTllxJXh4vHivP8948tbNpnIcjHg/9e3J0zOkcp9B6id9UXsJ/WpPHz2n30SghpVp8Bx+OduTvJK67Aw83EPWc4Z35Hu6gAR6gZ1Dacy/vH4+vpzlfL99A+KoA+LWsuy3F+zziu/WApc7dmcd/X9vW6zCa4tG88ozpFsW5vHgHeHqzek0enmAB6twzhX1+sJsjHnecv7nHY8zUG87dlk5ZXQkSAF18sTWFrRgHeHm7EBfuwek8evp5u9EoIZsH2HCqrutcODkUAXyxN4YulB6r3FpZVMuHDZYcdq0/LEP57cXdaVV2Ie298vxNqa3SQN4+d14XbR7Th/m/W8k/V/NjuLYIY0SGSV2dt45OqaoXh/l7832U9j/neFBHgxR93D+OntWkMbhtOsI8Hwb6ejjC7LDmXqb9uYkjbcP41qh3ubmYu6RvPm7O3YzMMooN8eGvOdrZmFHLRWwtJCPWlTaQ/43rGNZsCTnXN5aPl1KlTefzxx53djEZlTNdoYn73Zl/VpPMnf97Ikp05PHpu5yZflOGfrVnMqXqzutyF5hYdrF2kP1kFZWzLKGjywSilaqx3y9C6Py893c20jQxg0z4LG1LzFYyagL37i/lquf3Cx/vj+6ra1xGYTCZeu6IX/RNDeOSHDTz3+2YGtw2jY3TzGl5+qAqrjW9W7CXYx4Nvlu8F4J1r+9IltnHMTaseIXC0ebH3ndmefXkl+Hq64eXhxtJducxYtuewhcF/WbfP8e/swjKueX8J/7ttkGMea2Owd38x1324tEYvWbXqIWZPnt+Vi/q0ICWnmEqbjed+38wfGzIY3SWKyWd14s+N6XwwP5l0SymxQd68c21fvlmxl48XJeNmMjGiQyTXD0mkd0LISVeUO1RkoDfvXNuHt+bsYEt6AU+c35Vwf08yLaWO/4d/j+lAm+MsKBTi58m1AxNrva9fYijf3j64xrYgHw8mn93JcbtjdABXvbeEzekF9t/bxgz+2pjBn/cMO+6LRmWVVgyDOvsdubJ6DUbh4eG4ubmRkZFRY3tGRgbR0bVPtI6Ojj6h/SdPnlxj6J3FYiE+/uiT4po6bw83vrplIK/9vY01e/LZklHAnxszSMkt5pvbBjXJct6GYfDQd+v4Yqn9TWlMl2jHVSFX0zbSn4U7ctieVejsptQrq81gT9UaRi3r6f+qc0wgm/ZZ2LjP0qyLkTQFJeVWnv99CzYDBrcNUyg6Dlef1pLZW7L4e3Mmd89Yzfd3DG62X3w2plm4/5s1NeaYRAV6Mbyda01g794imJmThjtuL9mZw10zVjuWJegRH0zvhGD+3JBBal4JXWIDcXczs2ZPHhM/X8lHE/oTXw8Xoo5md9XIgJYHjQwwDIOX/txaIxRd3KcFY7vF8MmiZGZvySKpUxQX9rZXZ00Is7f57Wv6kldcjr+XO+5uZm4e1obrB7di6a5cusQGEeTrQde4IK4ckICPh1u9vVYvdzfuTqo5BO+ZC7oxpF04ecUVXNy7Rb0ctzaD24bzv9sGsT41nyk/bgBgW2Yh87dnM/QY53d5pY1N+yzcPn0lecXlvHhpD8Z0bd6l/uv1G7Knpyd9+vRh1qxZjBs3DrAXX5g1axYTJ06s9TEDBw5k1qxZ3H333Y5tM2fOZODAgbXu7+XlhZeXJpwdKj7Ul+cv7gHA7+vTuePzlWxOL+D81+fz/R2Dm9zcle9WpTpC0Zmdo/jvJd2d3KKT165qrPv2jKYdjDILSqmwGribTUQH1k859c6xgfxvpf1LkbiunMIyzn9jgWPNq5tcqKCKM5lMJp67qDtjXp7L5vQCXvhjCw8fstB4c7A9s5AL3lxAWWXNIVgjO0S63HDrQw1oHcavdw3l782ZjO4S5fhsv3tUexbvymF4+wgKyyo5+5V57Mgq4tzX5/PFTacdteeosKyS5OwiFu/M4d15O3np0p4Mbht+Uu1btzefi6ctxN1s4oeJQyirtPLF0hT+2phJuqUUkwm+umUg7SL9Cfa1F4sa2TGSffklRPh71drjUb1fNXc3M4MOaV97J6xlZjabOKd77LF3rAd9WobQp2UInWMDeeKnjaxLzeea95dyWd947hvd4bDCDCtT9vP0L5vYmGahpMLq2H7XjNV8d7tfs172oN67DiZNmsT48ePp27cv/fv35+WXX6aoqIgJEyYAcO211xIXF8fUqVMBuOuuuxg+fDgvvvgiY8eOZcaMGSxfvpx33nmnvpvaZI3pGs2n1/fnzi9WsSOriLtmrOamoa35c2M6haWV3DSs9RHfROZuzeLLZXu4f3QHIgO98HZ3w2Sq//UWFm7P5uNFyczenEX3FkGc1zOWS/vGsyw5F5sBw9qFO9qwLDmX+79ZC8CkM9rzr1GuvR5AdTWdbZlNOxil5dm/5EYFetfb5OAuVW/utVUiEtfx/O9b2Lu/hAAvd565sBsjOhy+1IPULiLAi+cv7s4NHy/nvfm7OKtbNH1aNq/eto8W7qKs0kbvhGCmXdOH53/fwverUl1qKYejCfXz5OI+NXsognw9GF3VS+7t4cb3dwzmlk9XsC41n0unLeLZi7pzdrfowz7L84srOP+N+TVKWk/4aBkz7xlGmL8Xnm5mPN3Nx9Wu7MIybv50OWWVNsqApJf+qXG/u9nEo+d2rrX8eEyQhj6fjH6JobxyeU9Of9H+u/5y+R7SLaV8fH1/Kq02Plu8m8RwP+78YpWjKIWPhxtBPh4UlFZQVG7l7FfnERHghZvJRKifJx9c189l1oKsC/Verhvg9ddfdyzw2rNnT1599VUGDBgAwIgRI0hMTOSjjz5y7P/111/z8MMPOxZ4ff755497gdfmXK77WJYn53Lle0sc5SYP9txF3diZXcTC7Tl0bxHEmK7RtAz1Y+yr8ygoO1DRxd1swmwyceWABP7ZmkVkgBd3J7Wnf6vQI365XZ6cy1+bMrk7qd1xDePYkJbPua/Np5Zhxw7/ObsTNw1rzaqU/Vz93hKKyu2rR/993wiCfFy7NyyroIx+T/+FyQSbnhjTZIe+/LQmjTu/WEW/xBC+vnVQvRwjv6SCHo//CcCaR88kyNe1z43mqLqEPcD/bhvY7L7U15V7v1rD/1bu5czOUbxzbd2Wxm+sKq02nv1tM+/Nt68dM/3GAQxuG45hGJRV2prse+uRZFhKGfXiPxRWfaaf2TmKp8Z1Jdzfi+W799MhKoBHf1zPD6vTjvgcXu5mWoX7MX5QIi3DfDmtVdgRe90e+GYtXy7fc9j2FiE+3HdmB/q3CiVWcz/rxQfzd/H35kzmb88GYHj7CIrKKlm+e79jnwAvdx47rwvn9IjBy92N/UXl3DZ9xWHrL3WICuDb2wfVWvFuxe5cPl64G39vd24Z1rrGcMnG5ESyQYMEo4akYHR0i3bk8OKfW9iaUUD3FsGsS80nv6TilJ83LtiHaVf3oVuLA5NYP1mUzJKduY5JoHHBPlhtBl3jAhnXK65Gl/Oe3GKm/LiBnVmFZBWUUVRuxdvDzGPndqG43Mprf29jf/Hh7TSbwGZA17hA3r6mb5OYYG8YBr2enElecQU/3zmkyS5a+c7cHTzz62bO6xHLq1f0qrfjDHnub/buL+GLm05jYJuwejuO1L384grOfPkfMixlXNynBS9c0sPZTXJZ2zMLSHppLiYT/DSx6b2vbEyzUFpppXeCvfLa3v3F3PrZCtan2nuLxw9syWPndWn2FQyTs4v4fGkKHy7YRYXVICLAi4RQX1Yc9IXZZIIR7SPonRDCuF5x3PTJ8iOut3NPUnvuSjowSmPetixmLNtDcVkls7fYCyH977aBgInFO3MY1SmSxDC/ZhdKneWR79fz6eLdtd736hW9OO+Q8uGVVhsfL9qN2QR+nu48/esm8ksquGVY6xoFH8B+EfuitxY6qgQGeLvz3e2DG+Wi0o1mHSNpfAa2CeOb2w5cnV+4PZtbPltByzBfWof74+VuZt62bMdEzq5xgUwc2ZYvlu6hf6tQzu8Zy7g3FpBdWA5AbJA3afmlpOaVcOW7i3nn2r7sziniv39sIaeovMaxU6uGTqVbSvlrUyalFTbO6R5Dpc1g/IdL2ZlV5Ni3RYgP39w6yNF9e37PWGZtyqRlmC/frkx1XIWyGfb7njiva5PpDTCZTLSPDGBpci7bMgua3BeYaml59nMsJrh+u+i7xAayd38JG9LyFYxO0YLt2aTnl5LUOYogHw+sNoPconJC/TzrZDjkruwi3p+/k2Ht7PMi/tyQQYaljFbhfkw5t/nNjalLbSMDHCW8n/h5I1/efFqTCQl5xeVcPG0hJRVW3riyNy3DfLnincVYqoYKPXdRNy7r1zSGzZ2qxHA/Hjq7E+d2j+WuGavYmV1E1kFr6IB9Dt9DB30J/uVfQ9mVXUiEvzfZRWV8tXwPb/+zE4Bp/+zgwt5xxIf6sj41nwkfLqtRUGFs9xhHL29jLBfe1N15eltmbswgt7icni2CiQvxIczPEy8PM2d3PbwgkbubuUZp/zB/T274eDmfLNrNTcNaE+rryaKdOZRX2nj5r62UVtjo3iKI8kobm9MLSHrpH4a2C6dvy1DuGNkGd7fjG3bZmKjHSA5TabUxc2MGJhOc0Tn6sC882zIK+H19On0TQxnYJozMAnv3/MGLqFWLC/ZxBKJqQ9uFM29btuO2l7uZskob0YHeTDqjPV4eZka0jzxq0Plq2R7enruDO0a25cIGrP7SUKqv8twyvDWTz+p07Ae4oFs+Xc4fGzJ4/LwujB+UWG/HeeWvbfzfX1u5sHccL13as96O01hVWm2HfThVWG1sTLPQLS4Is9lEpqWUskrbUSs4zd6SWWNtkI7RAeQUlZNVUEbfliFMv2kAXu4nfxU4Pb+Usa/OO+yCCsBLl/Zokn/nDS0tr4TTX5xDaYWNK/rH89S4bi65+OfBDMPgmV838e68XYfd5+Phxo1DWzHpjPZNJgTWpT25xYz/YCk7s4sci6b2Twzl4+v74+N59L9lwzC47J3FLN2Vi7vZRMeYAJKziyksq6R1uB8tQn2x2QxevaIXoX6eR30uqV8l5Va83M0nVWjEMAzOf2MBa/fmc/3gVqTllfD7hgPrinp7mPnn/pHkFJZz9qvzajz23jPac2cjmfOtHiM5Je5uZs7qduRyjQcvSgcQGeDNa1f04vMlKSzckUNhWSUjOkTQNTaI6wYnEu7vxfbMAvbkljCkXThmk4nL3l7kGOtaXSno7qR2XNrv+EqtX9ov/rj3dUXVC7NtOcLwhaagusJYfY8xry7A0Bwr02VaSjnv9QVkFpTSp2UI5/eMY+bGDLakF5BuKaV/q1C6xwUxfUkKJRX2eXqX9I3njM6RPPXLJorLrHSJC2RHZuFhQ2kOvr18934ufXsxb1zZ66TWSjMMg4e/X39YKDKbYGz3WKdVempqYoPtczue+mUTXyzdw5C2EYzt7tqled+cs6PWUBQb5M2vdw09rIKZHBAf6suvdw0lPb+UFiE+rE+z0CU2EI/juMpvMpl48ZIeXPHuYvbuL3EMWewQFcCXt5ym33sjcqyQezQmk4m7k9px/UfL+WDB4X9nD4/tTFSgN1GB3rxwSQ9ScorIKizni6UpvDZ7Oxf1aeFy88jUYyR1Kr+4gh3ZhfSKDz7qFbryShuLd+Zw79dryCooo02EHz/fOfSU/oCbkuXJuVw8bRFRgV4seSjJ2c2pc4Zh0HXKHxSVW/lr0vB6HZOcllfCoGf/xt1sYsMTo0+pV8MV7MktZv72bC7p04Jp/+zghT+31tlzn9Y6lP+7rCeb9xVgMwzMJhMGBv/6YjWFZZXEBfswc9IwfD2P/5qbYRi8MXs7L/y5FQ83Ez/fOZT4UB9MmPR+UE+e+GkjHyzYRd+WITWGVruCSquNWz9bSXJOEZf2bcHU3zZjGHDLsNb8e0xHtmcWYimtoFW4H+H+WsqjvlVabWzNKGR7ViFWm40zO0fXOklfXJdhGDz+00Y+WpgMwP2jOzC6SxT5JZW1Do80DIPL31nMkl25DG0XzofX9XP6kDoVX1Awchn7i8pZtDOHER0iTujLVFNXVFZJt8f+wGbAosmnN7nSpZmWUvo/MwuzCTY/edZxl389Gc2lmAXYv6QkvfRPjVK7ADFB3hSUVjrCy6Qz2pNdWMbfmzOJCfKmT2IoZ3aOYvHOHCZ/u47icuthz923ZQif3Tig1knTqXklXPLWQtLyS4kK9GJst9iquQVHnlOQVVDGRwt3sXpPHgu25wCHT+SW+pFhKeW0qbMwXPD9pbpoy8HGdo/hjSt7O6lFIk2fYRjM3JhBck4R1w1qdczP7E37LFz4pn3e34NndeTW4W0aqKW101A6cRkhfp6cfZRhe82Vn5c7HaMD2bjPwqqUPGK6uc4Xl+OxM9teaKNFiG+9hiKwDwXoEhvIgu05bEyzNOlg9Mu6fYeFom5xQXx1y0BKK6x8ung3Y7pGO9Ytu+WQD6vze8ZxWuswZm/O5PSOkfywOo1RnSIJ8/MiwNv9iGPU44J9ePqCbtzy6QoyLGV8sGAXnyxK5qMJ/RnS7vCFIdftzeemT5Y7irwA/Ov0ttx5ettT/RXIcYgK9KZPQgjLd+/npzVp3DzMuV9ajqSk3Mr78+2T/G8c2pqf1qQ5QlFEgBcBXu6UVdp4YHRHZzZTpMkzmUyc2eXwYg1H0ikmkJcv78mPq9MYPzCx/hpWDxSMRBqp3i2D2bjPwu3TV9KnZQhf3nya07uj60pyVTBqFd4wax50jrEHow1p+cDJzU37bPFu1u7No2tcEFf2T2iU/xdzt2bXuD3l3M5c0T8Bbw83fDzdjmvx46hAby6vWvjypmGtj/vYIztGMuf+EcxYmsKni3ezv7iCV2ZtpaTCyverUmkR4kOrcD/O6xnL7Z+vIN1SSoCXOz0TgukUE8jdSe1PanKwnJzzesayfPd+XvhzK6d3jHQsLN2YTP52Ld9Xralz8JDQ+FAfZt87olH+DYqI3egu0Y5Fhl2JgpFII3VF/wS+W5lKUbmVFbv3M2tzpku+ydRmV0MHo+oCDPtOrgDDoh05PPz9egC+Wr6XlJxiHj6n8ZWPXppsH5L2yuU9GdI2nLAGnmMRG+zDpDM7cNVpLRn87N8sS97PsuTlNfZ56Lt12AwI9vVg7r9HEujdNMrsu5qrBrRk5sYM5m3L5u1/dvLfRrJGlM1msGhnDl7uZn5au++w+8/vGcu1AxMVikSkXuidRaSR6hIbxOz7Rjiqqs1YmuLkFtWdhg5GXWLtw+c27SvAZjuxaZXp+aVM+mp1jW0fL0om7ZAy9M5WXfnRbILTO0Y2eCg6WFSgN9ceMnwiqVMUXu5mqn/91w1KVChyIjeziXvOaA/At6tS+XxJygn/bdSHJ37eyFXvLeHiaYuw2gyGtgvnxiGtMJnslUtfubyX1sMRkXqjHiORRiwy0Jv/u6wnZ/7fXBZst5dC928CFX8aOhi1DvfD091MYVklKbnFJJ7Acaf+tol9+aW0ifDj29sGc/Ony1myK5cvlqZw75kd6rHVx2d3ThGVNoNpVQsujuoURUAjCBz/GduJqEAvyittXDsokSAfD9LySlizJ4+oIG96tAh2dhObvd4JIZzTPYaf1+7joe/WsSplP89d1N1pQxrXp+Y7Kl+BfY2UKed2oW2kP3ef0b5JvPeJSOOmdxmRRq5dpD8tw3zZnVPMrE0ZnN8zztlNOiVWm8HuXHuBgIYKRu5uZjpGB7B2bz4b91mOOxhtSMvnh6o5Dq9c3osgXw+uHZjIkl25vD9/F2O6Rjt6oxqS1WaQW1TOb+v38egPG2rcd/uIxjGR3s1sOqy4Q2ywj8utadHUPXdRd8L9vfhkUTJfr9iLu5uZZy7o6pQFUacv2Q3AOd1juO/MDriZTY5FhxWKRKQhaCidSCNnMpk4v4d9gctXZ22j0mpzcotOTVpeCeWVNjzdzA36Jbl6SOL61Pzjfsx//9gCwLk9Yh3V7MZ0jWZQmzCKy628Omtb3Tf0GErKrVz57mL6Pf0Xj/1YMxR1jA6gZ3xwg7dJXJeflzuPndeF/7usJ2YTfLE0hfEfLjuhv5O6sGhHDl8t3wvANae1JDHczxGKREQaioKRiAu4cVhrgnw82JFVxJJduc5uzinZllkA2HuL3BpwyE51z8664/zCt2RnDnO2ZOFuNnFv1VwMsPeEPFJVeOGvTZnM3pxJaYWVwrJKflidSmFZZd03vkpWQRlP/bLRcQ7YDAjwcifA2341/YYhrZxypV9c3/k943jhkh54upmZuzWLi95ayIrdueQWlVNeWb8XY+ZuzeKa95dgtRmc3S2aAa3D6vV4IiJHor5pERcQ6O3BWV2jmbFsD7+s28fgtoevDeMqtqQXAtAhumHLA1fPaVmXmo9hGMcMEO/N3wXAZf3iDxt61zE6gI7RAWxOL2DCR8sY2DoMA4PFO3PpER/M3UntGNwmvNY1mrILy1iwPZtzu8ee0FyO12Zt46W/tlK9JPeLl/TA3c3EwNZhBPl6UF5paxRzi8R1Xdi7BT3jg3nou3Us3pnLRW8twt1sItDHgxcv7cHIDpGOfYvLK/FydzvlixtZBWXc+cUqKm0GSZ2ieO6i7qf6MkRETpqCkYiLOKtbDDOW7WH25kxnN+WUbMuw9xg1dDDqEB2Ap5uZvOIKUnKLaRl25HlGWQVl/F31e75uUOJh95tMJl64pAfjP1hKTlE5i3bmOO5bsyePCR8uY1THSC7tF09+cQXn94rFy92NCquNS6YtYld2EaUVVvomhvLpot20CPFhwuBWR/ySuWL3fl6caV/HJSLAi3E9Y7moT4sa+3i5u53or0TkMK0j/Hntit6cNnUWVptBZdV8tls+XcGbV/bGx9ONN+dsZ8H2HEwmuKRPC24e1ppAbw+yCsswDIgP9cVSUnHMoXB7cou558vV5JdU0CU2kDev6l3vCz6LiByNgpGIi+jbMgQ3s4l9+aXsyy8hJsg1J7FvqQpG7SL9G/S4nu5mOsUEsGZvPmv35h81GP25MR2rzaBHiyDaRdUe4LrGBbFo8ij+2pTBXTNWUWE1uGloK5bsymXt3nxmbc5kVlW42p1bxP2jO/L9qlRHRb4H/reuxvN9uCCZJ87vwsgOkRSWV/L2PzvItJTxyLmdeWP2dgAu7B3HS5f2rIPfhsiRRQR4ccOQVrw/fxeX9GlBWn4pc7dmceMnNdekMgz7ul7Vc4MOZjLByA6RnN0thlbhvvRoEexYe2hbRgF795fwrxmrKCitJMDLnf9e3EOhSEScTsFIxEX4ebnTMTqADWkWVu7OY2x31wtGVpvBtkznDKUD6N4iuCoY5XFuVUGL2vy1MQOA0V2PvqCup7uZs7vF0D7Kn6IyKz2qCh98vyqVR75fT0HVfKP35u1iWLsI/tiQccTnSs0r4YaPl+PhZiLE15PMgjIAvl5h/9JpNsGdp7c77tcqciomn9WRB8Z0xM1sIruwjNunr2T1njy83c10axHEE+d3ZVtGIXd+sZIK6+HrHxkG/L0509Hz2ishmM9uGMDS5Fyu/2iZY0ho17hAXrq0J+2PcAFCRKQhKRiJuJA+LUPYkGZh4Y5surcIcgxBcZUJ97tziiivtOHtYSY+pOErTnVrYS/AsHbvkQsw5BWXs2C7fWhcUqeo43retpE1v9SN6xXHmK7RGAZc8vZC1qdauOydxY77O0YHUGG1ccvwNlzaN56iskr++8cWpi/ZTYXVcISig101oGWDlTcXMZlMuFW9rYT7e/HVLQMP26dNhD8zbh7IlvQCOkT74242k5xTRHG5lTYR/izYns2crVms2ZPHqpQ8zn1tPlkFZY5Q1D8xlHeu7UOwr2cDvjIRkSNTMBJxIUmdovhk0W6mL0lh+pIUAO4Y2Yb7R3d0csuOz9aqYXTtowKcsojkwQUYyittjqE7WzMKCPbxIDLQmx/XpFFutdEpJvCUrmJ7e9jn/Lx1VR/Gf7iUnVn2IXS9E4L5322DaoTZ6pLJ5/eM5esVexnQKpQRHSLZkVXI6pQ8SiqsTBiceNJtEakvfVqG0KdliON2j4PKxfdvFco9Z7Rn9pZMJny4jJ1Vw0h7JQTz8mU9iQ/xddpisiIitVEwEnEhg9uGExXoRYblQI/CG7N30L9VGMPbRzixZcdnc/qBYOQM7SL9CfPzJKeonFUp+xnQOoxZmzK48ZPleLmb+b9Le/LJIvsik5ccUtzgZMWH+vL3vSPYnlnA+lQLY7pGH7GHr1dCCL0SDnzJ7J0QQu+Dbou4opEdIrlrVDuW7MqhU0wgE0e2Jczfy9nNEhE5TL3OdMzNzeWqq64iMDCQ4OBgbrjhBgoLC4/6mHfeeYcRI0YQGGgfHpSXl1efTRRxKW5mE29e1Ye7RrXjx4mDHRXT7v1qNXtyi53buOMws2ruTg8nLUJqNpsY0s5e6nz2liwqrDYe+m4dhgGlFTZum76S7ZmF+Hu5c3HfuglG1dpGBjCuV5yjJ0mkObnnjPbMuHkgU87tolAkIo1WvQajq666ig0bNjBz5kx+/vln5s6dy80333zUxxQXFzNmzBgeeuih+myaiMvq0zKEe85oT/cWwdw/ugOdYwLJLizn0R/WO7tpR7UqZT8b0ix4uJk4p1uM09pxRmf7vKHPFu/mk0W7ybCUEernyWmtQx373D6yDYFaE0hERKRZMRmGcXg5mTqwadMmOnfuzLJly+jbty8Av//+O2effTZ79+4lNvbIFaEA5syZw8iRI9m/fz/BwcHHfVyLxUJQUBD5+fkEBgaeyksQcQk7swoZ/fJcKqwG398xmJ5O6o05GpvN4NzX57MhzeL0ktM2m8EFby5gzUEFGCaObMu/RrXjy2UpBHh7cH7PWJcpaCEiIiJHdiLZoN56jBYtWkRwcLAjFAEkJSVhNptZsmRJfR1WpNlpHeHP2VU9MN+vSnVya2r32/p0NqRZCPByZ/JZnZzaFrPZxOtX9iY+1F7uvGtcILeOaIOnu5lrBiYyrlecQpGIiEgzVG/FF9LT04mMjKx5MHd3QkNDSU9Pr7PjlJWVUVZ2YCK6xWKps+cWcRXjesXxw+o0vl25l57xwXSIDqBTTOPpMf14UTIAE4a0IiLA+fML4kN9+WvScLZlFNImwh8fT837ERERae5OuMfowQcfxGQyHfVn8+bN9dHWWk2dOpWgoCDHT3x8fIMdW6SxGNYugk4xgVhKK7n7y9WMe2MBKTlHLsZgGAbvzdvJ6S/O4eZPlpNbVM6K3fs557V5vPjnFsc+ny3ezYcLdmGznfyI28yCUpYl5wJweb/G8/fp5e5G17gghSIREREBTqLH6N577+W666476j6tW7cmOjqazMzMGtsrKyvJzc0lOvroq8mfiMmTJzNp0iTHbYvFonAkzY6b2cR/L+7OIz+sJz2/lH35pVzw5gLuSmrHNae1ZFd2ES/O3IqXu5kHxnTk5b+28cVS+zpIO7OK+HPjTMdzrU+1UFhWSX5xBd9WDc37bX067aP8sdoMzu0ey8xNGVRaDVqG+RLi68nZ3WKOGDBmb87EMKBHiyBig33q/5chIiIichLqvfjC8uXL6dOnDwB//vknY8aMUfEFkXqUklPMtR8sIfmgHiOzCQ7t9DGb4MLeLfh5bRqlFbZTPu49Se25K6ndYdvv/3oNX6/Yy8SRbblvdIdTPo6IiIjI8TqRbFBvc4w6derEmDFjuOmmm5g2bRoVFRVMnDiRyy+/3BGKUlNTGTVqFJ988gn9+/cH7HOT0tPT2b59OwDr1q0jICCAhIQEQkNDj3g8EbFLCPNl5qThvDRzK2/N2QHYQ1GonycVlTYKyioBuHV4G/49piP3nNGe/UXlhPl74u/lzpn/N5d9+aWc1yOWC3rFERfiw9ytWWRYSvljQwYpVeslXdArjpJyK39sTMcw4P/+2kpCmA8X9Kq5/s+KlP0A9G4Z3HC/BBEREZETVG/BCGD69OlMnDiRUaNGYTabueiii3j11Vcd91dUVLBlyxaKiw9c2Z42bRqPP/644/awYcMA+PDDD485hE9E7DzczNx/ZgfaRvjj5+VOYrgvbSP8sRoGu7KL2F9UwYBW9gsNccE+xB00xO2nO4eQkltM74QQx7b2UQEAPHR2J1bs3k+wrydtI/0B2JJewH1fr2Fdaj73fLmGojIrV/ZPwGw2kVdczs6sIgB6xR94PhEREZHGpt6G0jmLhtKJNLz8kgp6PP6n4/atw9vw4FkdWbA9m6veW0LLMF/+uX+kE1soIiIizVGjWMdIRJqPIB8Prh/cynH744XJWEor2JhmL5/fuRGVDhcRERGpjYKRiNSJR8/tzNanzqJtpD8lFVbunrGat+fa5zgpGImIiEhjp2AkInXG093Mlf0TAPh7cybZheUAdI8PdmKrRERERI5NwUhE6tSFvePwdD/w1jJxZFuGtQt3YotEREREjq1eq9KJSPMT7OvJtKt7szunmPEDEzGbTc5ukoiIiMgxKRiJSJ07vWOUs5sgIiIickI0lE5ERERERJo9BSMREREREWn2FIxERERERKTZUzASEREREZFmT8FIRERERESaPQUjERERERFp9hSMRERERESk2VMwEhERERGRZq/JLfBqGAYAFovFyS0RERERERFnqs4E1RnhaJpcMCooKAAgPj7eyS0REREREZHGoKCggKCgoKPuYzKOJz65EJvNRlpaGgEBAZhMJmc3B4vFQnx8PHv27CEwMNDZzREXoHNGTpTOGTlROmfkROmckRPVWM4ZwzAoKCggNjYWs/nos4iaXI+R2WymRYsWzm7GYQIDA/VGIidE54ycKJ0zcqJ0zsiJ0jkjJ6oxnDPH6imqpuILIiIiIiLS7CkYiYiIiIhIs6dgVM+8vLyYMmUKXl5ezm6KuAidM3KidM7IidI5IydK54ycKFc8Z5pc8QUREREREZETpR4jERERERFp9hSMRERERESk2VMwEhERERGRZk/BSEREREREmj0Fo3r0xhtvkJiYiLe3NwMGDGDp0qXObpI4ydSpU+nXrx8BAQFERkYybtw4tmzZUmOf0tJS7rjjDsLCwvD39+eiiy4iIyOjxj4pKSmMHTsWX19fIiMjuf/++6msrGzIlyJO8Oyzz2Iymbj77rsd23S+SG1SU1O5+uqrCQsLw8fHh27durF8+XLH/YZh8OijjxITE4OPjw9JSUls27atxnPk5uZy1VVXERgYSHBwMDfccAOFhYUN/VKkAVitVh555BFatWqFj48Pbdq04cknn+Tgulw6Z5q3uXPncu655xIbG4vJZOL777+vcX9dnR9r165l6NCheHt7Ex8fz/PPP1/fL612htSLGTNmGJ6ensYHH3xgbNiwwbjpppuM4OBgIyMjw9lNEycYPXq08eGHHxrr1683Vq9ebZx99tlGQkKCUVhY6Njn1ltvNeLj441Zs2YZy5cvN0477TRj0KBBjvsrKyuNrl27GklJScaqVauMX3/91QgPDzcmT57sjJckDWTp0qVGYmKi0b17d+Ouu+5ybNf5IofKzc01WrZsaVx33XXGkiVLjJ07dxp//PGHsX37dsc+zz77rBEUFGR8//33xpo1a4zzzjvPaNWqlVFSUuLYZ8yYMUaPHj2MxYsXG/PmzTPatm1rXHHFFc54SVLPnn76aSMsLMz4+eefjV27dhlff/214e/vb7zyyiuOfXTONG+//vqr8Z///Mf49ttvDcD47rvvatxfF+dHfn6+ERUVZVx11VXG+vXrjS+++MLw8fEx3n777YZ6mQ4KRvWkf//+xh133OG4bbVajdjYWGPq1KlObJU0FpmZmQZg/PPPP4ZhGEZeXp7h4eFhfP311459Nm3aZADGokWLDMOwvzmZzWYjPT3dsc9bb71lBAYGGmVlZQ37AqRBFBQUGO3atTNmzpxpDB8+3BGMdL5IbR544AFjyJAhR7zfZrMZ0dHRxn//+1/Htry8PMPLy8v44osvDMMwjI0bNxqAsWzZMsc+v/32m2EymYzU1NT6a7w4xdixY43rr7++xrYLL7zQuOqqqwzD0DkjNR0ajOrq/HjzzTeNkJCQGp9NDzzwgNGhQ4d6fkWH01C6elBeXs6KFStISkpybDObzSQlJbFo0SIntkwai/z8fABCQ0MBWLFiBRUVFTXOmY4dO5KQkOA4ZxYtWkS3bt2Iiopy7DN69GgsFgsbNmxowNZLQ7njjjsYO3ZsjfMCdL5I7X788Uf69u3LJZdcQmRkJL169eLdd9913L9r1y7S09NrnDdBQUEMGDCgxnkTHBxM3759HfskJSVhNptZsmRJw70YaRCDBg1i1qxZbN26FYA1a9Ywf/58zjrrLEDnjBxdXZ0fixYtYtiwYXh6ejr2GT16NFu2bGH//v0N9Grs3Bv0aM1EdnY2Vqu1xhcSgKioKDZv3uykVkljYbPZuPvuuxk8eDBdu3YFID09HU9PT4KDg2vsGxUVRXp6umOf2s6p6vukaZkxYwYrV65k2bJlh92n80Vqs3PnTt566y0mTZrEQw89xLJly/jXv/6Fp6cn48ePd/y/13ZeHHzeREZG1rjf3d2d0NBQnTdN0IMPPojFYqFjx464ublhtVp5+umnueqqqwB0zshR1dX5kZ6eTqtWrQ57jur7QkJC6qX9tVEwEmlgd9xxB+vXr2f+/PnOboo0Unv27OGuu+5i5syZeHt7O7s54iJsNht9+/blmWeeAaBXr16sX7+eadOmMX78eCe3Thqjr776iunTp/P555/TpUsXVq9ezd13301sbKzOGWmWNJSuHoSHh+Pm5nZYhaiMjAyio6Od1CppDCZOnMjPP//M7NmzadGihWN7dHQ05eXl5OXl1dj/4HMmOjq61nOq+j5pOlasWEFmZia9e/fG3d0dd3d3/vnnH1599VXc3d2JiorS+SKHiYmJoXPnzjW2derUiZSUFODA//vRPpuio6PJzMyscX9lZSW5ubk6b5qg+++/nwcffJDLL7+cbt26cc0113DPPfcwdepUQOeMHF1dnR+N6fNKwageeHp60qdPH2bNmuXYZrPZmDVrFgMHDnRiy8RZDMNg4sSJfPfdd/z999+HdRn36dMHDw+PGufMli1bSElJcZwzAwcOZN26dTXeYGbOnElgYOBhX4bEtY0aNYp169axevVqx0/fvn256qqrHP/W+SKHGjx48GHLAGzdupWWLVsC0KpVK6Kjo2ucNxaLhSVLltQ4b/Ly8lixYoVjn7///hubzcaAAQMa4FVIQyouLsZsrvlV0M3NDZvNBuickaOrq/Nj4MCBzJ07l4qKCsc+M2fOpEOHDg06jA5Que76MmPGDMPLy8v46KOPjI0bNxo333yzERwcXKNClDQft912mxEUFGTMmTPH2Ldvn+OnuLjYsc+tt95qJCQkGH///bexfPlyY+DAgcbAgQMd91eXXz7zzDON1atXG7///rsRERGh8svNxMFV6QxD54scbunSpYa7u7vx9NNPG9u2bTOmT59u+Pr6Gp999pljn2effdYIDg42fvjhB2Pt2rXG+eefX2tp3V69ehlLliwx5s+fb7Rr106ll5uo8ePHG3FxcY5y3d9++60RHh5u/Pvf/3bso3OmeSsoKDBWrVplrFq1ygCMl156yVi1apWxe/duwzDq5vzIy8szoqKijGuuucZYv369MWPGDMPX11flupua1157zUhISDA8PT2N/v37G4sXL3Z2k8RJgFp/PvzwQ8c+JSUlxu23326EhIQYvr6+xgUXXGDs27evxvMkJycbZ511luHj42OEh4cb9957r1FRUdHAr0ac4dBgpPNFavPTTz8ZXbt2Nby8vIyOHTsa77zzTo37bTab8cgjjxhRUVGGl5eXMWrUKGPLli019snJyTGuuOIKw9/f3wgMDDQmTJhgFBQUNOTLkAZisViMu+66y0hISDC8vb2N1q1bG//5z39qlE3WOdO8zZ49u9bvL+PHjzcMo+7OjzVr1hhDhgwxvLy8jLi4OOPZZ59tqJdYg8kwDlreWEREREREpBnSHCMREREREWn2FIxERERERKTZUzASEREREZFmT8FIRERERESaPQUjERERERFp9hSMRERERESk2VMwEhERERGRZk/BSEREGqXk5GQmTJhAmzZt8Pb2Jjo6mmHDhjFlyhRnN63BFRcX89hjjzFnzhxnN0VEpMnSAq8iItLobN++nX79+uHj48P1119PYmIi+/btY+XKlfz222+UlpY6u4kNKjs7m4iICKZMmcJjjz3m7OaIiDRJ7s5ugIiIyKH+7//+j8LCQlavXk3Lli1r3JeZmemkVomISFOmoXQiIgLAqlWrOOusswgMDMTf359Ro0axePHiGvt89NFHmEwmFixYwKRJk4iIiMDPz48LLriArKysw57zt99+Y+jQofj5+REQEMDYsWPZsGHDMduyY8cOWrRocVgoAoiMjDzp43z99dd07twZb29vunbtynfffcd1111HYmKiY5/k5GRMJhMvvPACb7zxBq1bt8bX15czzzyTPXv2YBgGTz75JC1atMDHx4fzzz+f3Nzck2rTddddh7+/P6mpqYwbNw5/f38iIiK47777sFqtjvZEREQA8Pjjj2MymTCZTOo5EhGpYwpGIiLChg0bGDp0KGvWrOHf//43jzzyCLt27WLEiBEsWbLksP3vvPNO1qxZw5QpU7jtttv46aefmDhxYo19Pv30U8aOHYu/vz/PPfccjzzyCBs3bmTIkCEkJycftT0tW7Zkz549/P3338ds+/Ee55dffuGyyy7Dw8ODqVOncuGFF3LDDTewYsWKWp93+vTpvPnmm9x5553ce++9/PPPP1x66aU8/PDD/P777zzwwAPcfPPN/PTTT9x3330n/dqtViujR48mLCyMF154geHDh/Piiy/yzjvvABAREcFbb70FwAUXXMCnn37Kp59+yoUXXnjM342IiJwAQ0REmr1x48YZnp6exo4dOxzb0tLSjICAAGPYsGGObR9++KEBGElJSYbNZnNsv+eeeww3NzcjLy/PMAzDKCgoMIKDg42bbrqpxnHS09ONoKCgw7Yfav369YaPj48BGD179jTuuusu4/vvvzeKiopq7Hcix+nWrZvRokULo6CgwLFtzpw5BmC0bNnSsW3Xrl0GYERERDhej2EYxuTJkw3A6NGjh1FRUeHYfsUVVxienp5GaWnpCbdp/PjxBmA88cQTNfbt1auX0adPH8ftrKwsAzCmTJly1N+biIicPPUYiYg0c1arlT///JNx48bRunVrx/aYmBiuvPJK5s+fj8ViqfGYm2++GZPJ5Lg9dOhQrFYru3fvBmDmzJnk5eVxxRVXkJ2d7fhxc3NjwIABzJ49+6ht6tKlC6tXr+bqq68mOTmZV155hXHjxhEVFcW7777r2O94j5OWlsa6deu49tpr8ff3dzx++PDhdOvWrdY2XHLJJQQFBTluDxgwAICrr74ad3f3GtvLy8tJTU096dd+66231rg9dOhQdu7cedTfkYiI1C0VXxARaeaysrIoLi6mQ4cOh93XqVMnbDYbe/bsoUuXLo7tCQkJNfYLCQkBYP/+/QBs27YNgNNPP73WYwYGBh6zXe3bt+fTTz/FarWyceNGfv75Z55//nluvvlmWrVqRVJS0nEfpzqwtW3b9rB92rZty8qVKw/bfuhrrA5J8fHxtW4/2dfu7e3tmENULSQkxPF8IiLSMBSMRETkhLm5udW63ahaAcJmswH2uTbR0dGH7Xdwj8vxHKtbt25069aNgQMHMnLkSKZPn05SUlKdHqe2457I9pN97Ud6PhERaVgKRiIizVxERAS+vr5s2bLlsPs2b96M2Ww+rJfkWNq0aQPYK8glJSXVSTsB+vbtC8C+fftO6DjV1e22b99+2H21bTsV9fHaDx62KCIi9UNzjEREmjk3NzfOPPNMfvjhhxoV0zIyMvj8888ZMmTIcQ19O9jo0aMJDAzkmWeeoaKi4rD7ayvtfbB58+bV+rhff/0VwDHs73iPExsbS9euXfnkk08oLCx03P/PP/+wbt26439hx+FUX3ttfH19AcjLyzvV5omIyBGox0hERHjqqaeYOXMmQ4YM4fbbb8fd3Z23336bsrIynn/++RN+vsDAQN566y2uueYaevfuzeWXX05ERAQpKSn88ssvDB48mNdff/2Ij3/uuedYsWIFF154Id27dwdg5cqVfPLJJ4SGhnL33Xef8HGeeeYZzj//fAYPHsyECRPYv38/r7/+Ol27dq0Rlk7Vqb722vj4+NC5c2e+/PJL2rdvT2hoKF27dqVr16511m4RkeZOwUhEROjSpQvz5s1j8uTJTJ06FZvNxoABA/jss88c1dhO1JVXXklsbCzPPvss//3vfykrKyMuLo6hQ4cyYcKEoz72oYce4vPPP+eff/5h+vTpFBcXExMTw+WXX84jjzxCq1atTvg45557Ll988QWPPfYYDz74IO3ateOjjz7i448/Pq5FZxvqtR/Je++9x5133sk999xDeXk5U6ZMUTASEalDJqN6tqiIiEgz1LNnTyIiIpg5c6azmyIiIk6kOUYiItIsVFRUUFlZWWPbnDlzWLNmDSNGjHBOo0REpNFQj5GIiDQLycnJJCUlcfXVVxMbG8vmzZuZNm0aQUFBrF+/nrCwMGc3UUREnEhzjEREpFkICQmhT58+vPfee2RlZeHn58fYsWN59tlnFYpEREQ9RiIiIiIiIppjJCIiIiIizZ6CkYiIiIiINHtNbo6RzWYjLS2NgIAATCaTs5sjIiIiIiJOYhgGBQUFxMbGYjYfvU+oyQWjtLQ04uPjnd0MERERERFpJPbs2UOLFi2Ouk+TC0YBAQGA/cUHBgY6uTUiIiIiIuIsFouF+Ph4R0Y4miYXjKqHzwUGBioYiYiIiIjIcU2xUfEFERERERFp9hSMRERERESk2VMwEhERERGRZk/BSEREREREmj0FIxERERERafYUjEREREREpNlTMBIRERERkWZPwUhERJqk4vJKfl23j/JKm7ObIiIiLkDBSEREmqQpP2zg9ukrefLnjc5uioiIuAAFIxERaZK+XrEXgE8X73ZyS0RExBUoGImISJNnGIazmyAiIo2cgpGIiDQ5RWWVNW5nFpQ5qSUiIuIqFIxERKTJ2ZFVWOP2hrR8J7VERERchYKRiIg0OdszawajjWkWJ7VERERchYKRiIg0OYf2GGUXljupJSIi4ioUjEREpMnZu78EgHB/TwAsJRXObI6IiLgABSMREWly9uWXAtAhOgAAS6mCkYiIHJ2CkYiINDkZFnswahdZFYxKKo+2u4iIiIKRiIg0LYZhqMdIREROmIKRiIg0KXnFFZRX2gBoF+kPaI6RiIgcm4KRiIg0KdW9ReH+noT7ewFgKdVQOhEROToFIxERaVLSLfaKdFGB3gT6eABQWFZJpdXmzGaJiEgjp2AkIiJNSnp+GQAxQd4EeLs7theWqddIRESOTMFIRESalPR8e49RdJA3Hm5mfD3dAFWmExGRo1MwEhGRJiW9qlR3VIA3AIHe9uF0qkwnIiJHo2AkIiJNSlaBfShdZKC98EKgj304nSrTiYjI0SgYiYhIk5JZHYzUYyQiIidAwUhERJqU6mAUEVDdY1QVjDTHSEREjkLBSEREmgyrzSCnsLrHqCoYVVWmU4+RiIgcjYKRiIg0GTlFZdgMMJsgzP/QHiMFIxEROTIFIxERaTIyLfbeojB/L9zMJuDgOUYaSiciIkemYCQiIk1GVtUwuoiq3iJQVToRETk+CkYiItJkZFlqluoGVaUTEZHjo2AkIiJNRmaBfXHX6sILcGCOUb56jERE5CgUjEREpMnIOqRUNxzUY6Ry3SIichQKRiIi0mQcurgrQJCPhtKJiMixKRiJiEiTcSAYqfiCiIicmAYJRm+88QaJiYl4e3szYMAAli5detT98/LyuOOOO4iJicHLy4v27dvz66+/NkRTRUTEhR1tKF1RuZVKq80p7RIRkcbPvb4P8OWXXzJp0iSmTZvGgAEDePnllxk9ejRbtmwhMjLysP3Ly8s544wziIyM5JtvviEuLo7du3cTHBxc300VEREXZhjGQcUXDgylC/A+8FFXUFpJiJ9ng7dNREQav3oPRi+99BI33XQTEyZMAGDatGn88ssvfPDBBzz44IOH7f/BBx+Qm5vLwoUL8fCwX+VLTEys72aKiIiLKyirpLTC3iN0cI+Ru5sZP083isqtWEorFIxERKRW9TqUrry8nBUrVpCUlHTggGYzSUlJLFq0qNbH/PjjjwwcOJA77riDqKgounbtyjPPPIPVaq11/7KyMiwWS40fERFpfqqH0QV4uePj6VbjvuqS3apMJyIiR1KvwSg7Oxur1UpUVFSN7VFRUaSnp9f6mJ07d/LNN99gtVr59ddfeeSRR3jxxRd56qmnat1/6tSpBAUFOX7i4+Pr/HWIiEjjl1m1uGvEQYu7VtMiryIiciyNriqdzWYjMjKSd955hz59+nDZZZfxn//8h2nTptW6/+TJk8nPz3f87Nmzp4FbLCIijUFti7tWU2U6ERE5lnqdYxQeHo6bmxsZGRk1tmdkZBAdHV3rY2JiYvDw8MDN7cAwiE6dOpGenk55eTmenjXHhnt5eeHldfiHoIiINC8HKtJ5H3afeoxERORY6rXHyNPTkz59+jBr1izHNpvNxqxZsxg4cGCtjxk8eDDbt2/HZjtQUnXr1q3ExMQcFopERESqZdWyhlE1zTESEZFjqfehdJMmTeLdd9/l448/ZtOmTdx2220UFRU5qtRde+21TJ482bH/bbfdRm5uLnfddRdbt27ll19+4ZlnnuGOO+6o76aKiIgLyyq0B6Nw/9rmGFUNpVOPkYiIHEG9l+u+7LLLyMrK4tFHHyU9PZ2ePXvy+++/OwoypKSkYDYfyGfx8fH88ccf3HPPPXTv3p24uDjuuusuHnjggfpuqoiIuLCcwnIAwvwPH11woMdIwUhERGpX78EIYOLEiUycOLHW++bMmXPYtoEDB7J48eJ6bpWIiDQluUX2YBReWzByzDHSUDoREaldo6tKJyIicjJyqobShfqpKp2IiJw4BSMREXF5hmGQU9VjFOZ3tB4jBSMREamdgpGIiLi8onIrZZX2aqZHn2OkoXQiIlI7BSMREXF5uVWFF7w9zPh6Hj59Vj1GIiJyLApGIiLi8nKK7POLwmqZXwSaYyQiIsemYCQiIi7vaKW64UCPUVG5lUqrrdZ9RESkeVMwEhERl5d7lMILAAHeB4bXFahkt4iI1ELBSEREXF520ZFLdQO4u5nx83QDNM9IRERqp2AkIiIur7r4Qm2Lu1ZTZToRETkaBSMREXF52VWLux5pjhGoMp2IiBydgpGIiLi8DIs9GEUGeB9xH1WmExGRo1EwEhERl5dZUApAZGDtc4xAPUYiInJ0CkYiIuLyMqt6jKICj9xjFKQ5RiIichQKRiIi4tKKyyspKLOHnciAo/QY+ajHSEREjkzBSEREXFp1b5Gvpxv+Xu5H3K/6Pq1jJCIitVEwEhERl5Zhsc8vigr0xmQyHXE/Xy/7OkbF5QpGIiJyOAUjERFxaRkF9h6jiKMMowPw87T3GBWVW+u9TSIi4noUjERExKVlHtRjdDS+nlU9RmXqMRIRkcMpGImIiEvLrOoxijpWj5GXeoxEROTIFIxERMSl7cs/wR4jzTESEZFaKBiJiIhLS91fDEBciM9R9/OtmmNUXKYeIxEROZyCkYiIuLTUvBIA4oKPFYzsPUZF6jESEZFaKBiJiIjLKq+0OeYYHavHqHqOkXqMRESkNgpGIiLisvbll2AY4O1hJszP86j7+h3UY2QYRkM0T0REXIiCkYiIuKy9++3D6GKDfY66uCuAb1WPkc2AskpbvbdNRERci4KRiIi4rNT9xze/CMDHw83x72KV7BYRkUMoGImIiMvaW1V4ocUx5hcBuJlNjnBUpEVeRUTkEApGIiListKOsyJdNT+v6rWM1GMkIiI1KRiJiIjLyqqqSBcZcPTFXatVr2Wkkt0iInIoBSMREXFZ2YX2YBQecPSKdNWq1zJSyW4RETmUgpGIiLgsRzDy9zqu/avXMlKPkYiIHErBSEREXJLNZpBTWA4cfzBy9BgpGImIyCEUjERExCXll1RQabMv1Brmf2JD6Yo0lE5ERA6hYCQiIi6pehhdoLc7Xu5ux9jbzq+q+EKJqtKJiMghFIxERMQlZTkKLxzfMDoA36py3ZpjJCIih1IwEhERl5R9gvOL4ECPkRZ4FRGRQykYiYiIS8quWsMo4gSCkU/VHKOSCg2lExGRmhSMRETEJVXPMTrewgsAPh7VVekUjEREpCYFIxERcUknWqobDlSlK1WPkYiIHELBSEREXNKJLu4K4F3VY6SqdCIicigFIxERcUkHgtEJDKXz1FA6ERGpnYKRiIi4JEdVuhMp162hdCIicgQNEozeeOMNEhMT8fb2ZsCAASxduvS4HjdjxgxMJhPjxo2r3waKiIhLMQzDsY7RiVSl81bxBREROYJ6D0ZffvklkyZNYsqUKaxcuZIePXowevRoMjMzj/q45ORk7rvvPoYOHVrfTRQRERdTUFZJeaUNONHiC/Z1jFSuW0REDlXvweill17ipptuYsKECXTu3Jlp06bh6+vLBx98cMTHWK1WrrrqKh5//HFat25d300UEREXU72GkZ+nm2Pe0PGoLtetoXQiInKoeg1G5eXlrFixgqSkpAMHNJtJSkpi0aJFR3zcE088QWRkJDfccEN9Nk9ERFzUycwvggNzjDSUTkREDuVen0+enZ2N1WolKiqqxvaoqCg2b95c62Pmz5/P+++/z+rVq4/rGGVlZZSVlTluWyyWk26viIi4hpMp1Q0HleuusGIYBiaTqc7bJiIirqlRVaUrKCjgmmuu4d133yU8PPy4HjN16lSCgoIcP/Hx8fXcShERcbaTKdUNB8p1GwaUVc1REhERgXruMQoPD8fNzY2MjIwa2zMyMoiOjj5s/x07dpCcnMy5557r2Gaz2T+43N3d2bJlC23atKnxmMmTJzNp0iTHbYvFonAkItLEVc8xOtEeo+o5RmBf5NXb4/jnJ4mISNNWrz1Gnp6e9OnTh1mzZjm22Ww2Zs2axcCBAw/bv2PHjqxbt47Vq1c7fs477zxGjhzJ6tWraw08Xl5eBAYG1vgREZGmLat6jtEJBiM3swlPd/tHX7EKMIiIyEHqtccIYNKkSYwfP56+ffvSv39/Xn75ZYqKipgwYQIA1157LXFxcUydOhVvb2+6du1a4/HBwcEAh20XEZHmyzGU7gSLL4C9AEN5pY0SFWAQEZGD1Hswuuyyy8jKyuLRRx8lPT2dnj178vvvvzsKMqSkpGA2N6qpTiIi0shlOxZ3PbE5RmAfTpdHhUp2i4hIDfUejAAmTpzIxIkTa71vzpw5R33sRx99VPcNEhERl3ayVengwDwjlewWEZGDqatGRERcTnbByc0xggOV6UrUYyQiIgdRMBIREZdSVFbpCDUnM8eouseopLyyTtslIiKuTcFIRERcSvUwOm8PM36eJ15uWz1GIiJSGwUjERFxKQfPLzKZTCf8+AM9RlrgVUREDlAwEhERl5J1CvOL4ECPUbGG0omIyEEUjERExKWcSkU6sK9jBKhct4iI1KBgJCIiLsWxhlHAia9hBOCtct0iIlILBSMREXEpddVjpGAkIiIHUzASERGXciprGAH4etrXNi8q0xwjERE5QMFIRERcyqn2GAV4VwUjFV8QEZGDKBiJiIhLORCMTm6OkV9Vj1FhmYbSiYjIAQpGIiLiUrILq4bSBZxcj5Gfl4bSiYjI4RSMRETEZZRWWCmsCjQnO5TOX8FIRERqoWAkIiIuI6vAPozO081MYNVcoRPl52WvSleoYCQiIgdRMBIREZdx8Pwik8l0Us+hHiMREamNgpGIiLiMU51fBAfPMVLxBREROUDBSEREXMapluqGA8Go3GqjrFLhSERE7BSMRETEZWRXzTEK8zu5Ut0Afp5ujn+r10hERKopGImIiMtw9BidwlA6dzcz3h72jz/NMxIRkWoKRiIi4jKyqoJRxCkMpQPw9/IAVJlOREQOUDASERGXsSe3BIAWIT6n9Dz+VSW71WMkIiLVFIxERMRl7NlfDEB8qO8pPU91AQb1GImISDUFIxERcQkFpRXkFVcAdReMVHxBRESqKRiJiIhLqB5GF+rn6Vik9WRpkVcRETmUgpGIiLgExzC6U5xfBBpKJyIih1MwEhERl7An1x6MWpziMDpQ8QURETmcgpGIiLiEvfvtQ+niQ049GPl5qsdIRERqUjASERGXUB2MTrVUNxxUfKFcwUhEROwUjERExCVkWEoBiAnyPuXn8vW0D6UrLldVOhERsVMwEhERl1AdjKIC6y4YlSgYiYhIFQUjERFp9CqtNrILy4C6CkbVQ+kUjERExE7BSEREGr2swjJsBribTYT5eZ7y8x3oMdIcIxERsVMwEhGRRi893z6MLjLAC7PZdMrP56M5RiIicggFIxERafQyLFXD6Oqg8AIcGEqnOUYiIlJNwUhERBo9R+GFgLoKRlULvGoonYiIVFEwEhGRRi+9KhhF11mPkYbSiYhITQpGIiLS6NVlqW7QUDoRETmcgpGIiDR6B4KRV508X3XxhUqbQXmlrU6eU0REXJuCkYiINHrVVemi66zHyM3xb/UaiYgIKBiJiIgLyKzjqnQebmY83ewfgSrAICIioGAkIiKNXFFZJQVl9vBSV3OMQGsZiYhITQpGIiLSqFVXpPP3csffy73Onrd6OJ2G0omICCgYiYhII1fXhReqHegx0lA6ERFpoGD0xhtvkJiYiLe3NwMGDGDp0qVH3Pfdd99l6NChhISEEBISQlJS0lH3FxGRpq2uS3VX86sq2a2hdCIiAg0QjL788ksmTZrElClTWLlyJT169GD06NFkZmbWuv+cOXO44oormD17NosWLSI+Pp4zzzyT1NTU+m6qiIg0Qun59sILdVWRrprmGImIyMHqPRi99NJL3HTTTUyYMIHOnTszbdo0fH19+eCDD2rdf/r06dx+++307NmTjh078t5772Gz2Zg1a1Z9N1VERBohR49RHVWkq+aroXQiInKQeg1G5eXlrFixgqSkpAMHNJtJSkpi0aJFx/UcxcXFVFRUEBoaWuv9ZWVlWCyWGj8iItJ0OIJRQN3OMXIUX6hQj5GIiNRzMMrOzsZqtRIVFVVje1RUFOnp6cf1HA888ACxsbE1wtXBpk6dSlBQkOMnPj7+lNstIiKNR3VVuug67jHy8bDPMSoqUzASEZFGXpXu2WefZcaMGXz33Xd4e9f+gTh58mTy8/MdP3v27GngVoqISH2qXtw1sq6LL3hVl+vWUDoREYG6WxCiFuHh4bi5uZGRkVFje0ZGBtHR0Ud97AsvvMCzzz7LX3/9Rffu3Y+4n5eXF15edTu8QkREGgebzXAMpVPxBRERqU/12mPk6elJnz59ahROqC6kMHDgwCM+7vnnn+fJJ5/k999/p2/fvvXZRBERacRyisqptBmYTBBR13OMqobSFWuOkYiIUM89RgCTJk1i/Pjx9O3bl/79+/Pyyy9TVFTEhAkTALj22muJi4tj6tSpADz33HM8+uijfP755yQmJjrmIvn7++Pv71/fzRURkUakurcozM8LD7e6vZbnKL6gHiMREaEBgtFll11GVlYWjz76KOnp6fTs2ZPff//dUZAhJSUFs/nAh91bb71FeXk5F198cY3nmTJlCo899lh9N1dERBoRxzC6oLofMu1bNceoqExzjEREpAGCEcDEiROZOHFirffNmTOnxu3k5OT6b5CIiLiE9HqaXwQq1y0iIjU16qp0IiLSvGXUU0U6OFCuW8UXREQEFIxERKQRy8iv/x4jBSORxuGnNWlc8c5itmcWOLsp0kwpGImISKO1Z38xADF1vLgrHByMNMdIxNlKK6zc+cUqFu3M4ZJpi9iVXeTsJkkzpGAkIiKN1taMQgDaRQXU+XP7emoonUhj8dXyPY5/7y+uYNSLc5jyw3oqrDYntkqamwYpviAiInKicovKyS60zzFqF1n3yzWoXLeI821Ms/DBgl18vyoVgKsGJLAvv5S/N2fy8aLdxIf6khDqy3vzdvH4+V3oFBPo5BZLU6ZgJCIijdLWDPs8gxYhPvh51f3H1cFD6QzDwGQy1fkxROTIZm/O5LbpKyitsPcKndcjlsfO64KHm5l35+7k6V83MWPZHlJyiim32rj07UUsnjyqXt4PREDBSEREGqltVcGoQz0MowPwqQpGNgPKKm14e7jVy3FE5HAFpRXc/80aSitsDGoTxg1DWjGyQyRms/0CxSV9W/DfP7awPbPwoMdUcsZL/1BQWsnFfVsw+axOeLprVojUHZ1NIiLSKG2pCkb1Mb8IDswxAs0zEqlvpRVWUnKKMQwDgNf/3k52YTmtw/34+Pr+jOoU5QhFAMG+npzZJcpxu23VcNq0/FIKyir5cEEy787b2bAvQpo89RiJiEijVF2Vqm09zC8CcDOb8HI3U1Zpo7i8klA/z3o5jojAv75YxZ8bM+iVEEy7SH++Wr4XgP+M7YSHW+3X6Z++oBund4zEZsCYrtF0nfJHjfu/Xr6H20e00TBYqTPqMRIRkUYpLc++hlGLEJ96O4YKMIjUv51Zhfy5MQOAVSl5jlB0ad8WjOoUdcTHBfl4cGHvFlzcpwX+Xu7cP7oDZhO8cnlPfD3dSM4pZmXK/gZ5DdI8qMdIREQaHcMwSM0rASAuuD6DkTv7iys0lE6kjmQXlmGzGURWLcq8Jb2A8R8sBaBbXBDn9ohhY5qFNhH+3Di09Qk99+0j2nDDkFZ4e7gxd2s2/1u5lw8WJNOnZehh+6qgipwMBSMREWl0sgvLKa+0YTJBVGDdL+5arboAQ5EWeRU5ZY/9uIGPFibj4Wbiq1sG0j4qgKvfX0JWgb3s/r1ntmdEh8iTfn6TyeQoknLj0Fb8b+Veflm7j7lb/6BbXBAPj+1M59hAflidyj1fruaNK3tzVreYOnlt0jxoKJ2IiDQ6aVW9RZEBXvVadcpPQ+lE6sSK3fv5aGEyABVWg6d+2cTb/+wgq6CMAG93Pr2h/ymFokN1iglkdFVxhoLSShbuyOGWz5ZjKa3g00W7sRnw3vxddXY8aR7UYyQiIo1OWgMMo4MDPUYaSidy8tLzS/nPd+sAGNounGXJuazYvZ8Vu+3zf569sDtD20XU+XGfu6g7IzukE+jjwaM/rGdPbgkPf7feMe9oxe79pOaV1Pv7iDQd6jESEZFGp3p+UWw9f6GpLtmtHiORk2O1GUz4aBmb0wsI9fPkuYu6c81pLR33xwZ5M6ZrdL0cO9jXk8v7J3B2txheubwXAD+uScNmHNjnl7Vp9XJsaZoUjEREpNFpiMILoDlGIifrh9WpTPlhPU/8tIFN+ywEervz/e2DiQ32YcLgVo79zukRi5u5/osgDG4bTlKnA0P1Wob5AvDTmn31fmxpOjSUTkREGp20Buox8tNQOpHjsnRXLr+sTSMy0JvIAC8e+N/aGj0zt45oQ0JVGIkN9uHeM9rz16YMbhza6gjPWPeev7gH367cS6C3B4PbhTPs+dmsS80nObuIxHC/BmuHuC4FIxERaXTSLfYqVvVZkQ40lE7keKzek8dV7y2mwmocdl+wrwdndo7i+sE1A9Cdo9px56h2DdVEAEL9PGuUAB/cNpy5W7P4eW0aE09v2LaIa1IwEpEm7btVe3nhj610jA7gP2M70TrC39lNkuOQZbEv7hoZ6FWvx1HxBZGjs9oMJn25mgqrQUKoL0E+HmzLLKB/qzBevbwnwb6ezm7iEZ3TPYa5W7P4ac0+BSM5LgpGItJkzd+Wzb1frcFm2Oes7Mgq5IeJQwjy8XB20+QoDMMgq9DeYxQZUL/ByN/L/jFoKa2o1+OIuIq0vBLunrGa1LwS7jy9LSF+nuzMLiLIx4Of7rS/f7rK4qmju0Tzn+/WsSWjgK0ZBbSPCnB2k6SRU/EFEWmyXvt7GzYDOscEEh3oTXJOMfd9vQab7fDhINJ47C+ucAzZiajnYBTmZ7/anVtUXq/HEXEFpRVWLn9nMUuTc0nNK+HBb9dxy6crALhyQILjopIrhCKAIB8Phre3F2T4eY2q08mxKRiJSJO0J7eYJbtyMZngvfF9eefaPni6mZm5MYMr3l3M+tR8ZzdRjiCzwD6MLsTXAy93t3o9VmhVMMpRMBLh44XJpOQWE+bnyTWntcS9qppcRIAX4wcmOrdxJ+ncHjEAvPr3du78YhWb0y1ObpE0ZhpKJyJNTlZBGQ9VLTY4qE0YscE+xAb7MPXCbjzwv7Us2ZXLBW8u4LpBidyV1N4xnEoah0xL9TC6+i28ABDmX91jVFbvxxJpzMoqrbz1zw4AJp/diYv7tGDC4ES2ZRYyoFVoo55LdDRJnaIc//5pTRp5xeV8esMAJ7ZIGjN9GxCRJqO80sa61Hye/Hkjq/fk4W42ccuwNo77L+rTgoFtwnjsxw38uTGDd+ftYv72HC7qHYevpzvn9YxVSGoEMguqglE9F14ACPOzHyO3UD1G0rzN25pNXnEFkQFeXNArDoDWEf4uX7DGz8udER0imLMlC4B527IprbDi7VG/vdHimvQNQERc0o6sQn5ak8aEwa0I8vFg7/5ibvpkBZv22YdJ+Hi48b/bBtE5NrDG42KDfXj7mj7M2pTJ7Z+vZNM+C0/9Yn/MV8v3MOPm0/SB6WQZVRXp6nt+EUBoVY9RUblVX5akWfuxag7OOd0bZkHWhvSfszvhUTWUGuD1v7czsmMk3VsE4eGmWSVygM4GEXE5aXklXPHOYl7+axtTflgPwOM/bXSEIoCHz+l0WCiqZjKZSOocxSNjOwHQKSYQd7OJ1XvyuFfFGZwuq6DhhtIFeLnj4Wb/Eqh5RtJc7c4p4o8N6cCBOTlNSbuoAN69ti/XDmwJwOuzt3PRWwt55tdNZBaUsj2zkMd+3MDWjAInt1ScTT1GIuJynvx5o2O41fer02gR4uu4EvjbXUOJCfI+rvHw1wxM5MLeLfD1dGPxzlyu/WAJv6zdR6/44BqLBErDqi6+ENUAQ+lMJhOhfp5kWMrILSwnLtin3o8p0piUlFu5/+u1lFXaGNQmjJ7xwc5uUr25fURbLCUV/Lx2H5U2gw8XJPPhgmTH/dsyC5h+42nOa6A4nXqMRMRl5JdUkJJTzJ9VIWhw2zDAfvUPoHdCMJ1iAk9okrCflzsmk4mBbcJ4eGxnAN6fv4tKq62OWy/Ha2tGIQAJob4NcrzQqnlGOSrAIM1IpdVGaYWV8R8sZWlyLj4ebjxzQTeXKcV9MqKDvHn58l5sf+ZshrePOOz+BdtzSM0rcULLpLFQMBKRRq+0wsq/vlhFj8f/ZNh/Z2O1GfRtGcKn1w/gkXM6E141T+SmU+zlubx/PKF+nuzLL+XvzZl10XQ5QYVllezIsgej7i2CG+SYWstImpv8kgrGvjqfjo/8ztLkXAK83fn0hv4khvs5u2kN5pkLu3FF/wQ+ub4/f9w9jP6tQgH4dsVeJ7dMnEnBSEQavSd+3uiYGFzthiGtMJtN3DCkFUseSmLVI2dwVrdTGxvv5e7GpX3jAXhv/q5Tei45OetT8zEMiA3ybpDiC3BgLSMFI2kOyiqt3PPlarYcNJ/m1ct70Tcx1ImtanhxVUs4DGsfQYfoAC6reu//ZuVeDEPzTJsrzTESkUatoLSCb1far+C9d21f+rQMoaC0koSwA8Os3MwmQvzqZo2N6wYl8v78nSzdlcuy5Fz6NbMvC862bq994d1uLYIa7JjVaxmp+II0dZVWGzd+vJx527LxcDNx35kd6JUQ4ugtac7O6hbNoz+sZ3dOMct379d7fzOlHiMRabQyLKXcPWM1pRU22kb6M6pTJCF+njVCUV2LDvLm4j4tAHh37s56O47Ubm2qPRg11DA6gHB/e89UdZlwkabqrTk7mLctG19PNz64rh+3DG+jUFTF19Ods6tGHcxYusfJrRFnUTASkUahpNzKur35jiEMP6xOZehzs5lVNdfnsr7xDTYp+PrBrQCYtTmT9Hx9WW5I26qG93SKCWiwY8ZXFXnYm6tJ19J0rd6Tx8uztgHw9AVdGdru8OIDzd2VAxIA+GlNGtmFKsbSHCkYiUidyi0qZ0NaPot25PDVsj1HHaudVVDGur35FJZVctFbCzn39flc9s5iNqZZeP73LZRbbbSJ8OP+0R24pmr9iYbQLiqAfokhWG0GXy7TlcOGYrMZ7M4pBqBVuH+DHbe6+l1KbnGDHVOkIe0vKueuGauw2gzO6R7DuJ5xzm5So9QrIYReCcGUW21M/XWzqpM2Q5pjJCJ15vMlKTzz6yYKyyod23w83Ti3R+xh+747dycv/LmFssqaHzxLd+Vy9qvzAPD2MPPLv4bi7eFWvw2vxZUDEliWvJ8vl6Uw8fS2TW4l+MYoo6CUkgorbmYTLUIabj2h6mCUbimltMLqlPNNpL6k55dy62cr2J1TTFywD0+Pa9oluU/VxJFtueHj5fxv5V4MDF68pId+X82IeoxEpE688McWHvpuXY1QBDB9yW7HvyusNtLzS3lv3k6e/nXTYaFo2tV9SOoU5bg9skOk076kntU1hmBfD9LyS7l42kLGvDyXn9emHfuBctJ2ZRcB9qDi4dZwH08hvh4EeNmvE+7dr14jaTospRWMe2MBq/fkEejtzocT+hHk6+HsZjVqozpF8dZVvXEzm/h2ZSrfr051dpOkASkYichJMwwDm81gW0YBb86xL7L67zEdWP5wEp/e0B+zCRbvzOW/f2wmPb+Uc1+bz2lTZ/HUL5sAuGtUO9pF2odMPXhWR8Z0jeatq3szqI194dYr+ic454UB3h5uXNzbXoRhVUoem9MLeOT79ZSUW53WpqauOhgl1mNxjdqYTCbHPCMNp5Om5K05O0i3lJIQ6sv3dwymfVTDzd1zZWd1i+GuUe0AeGnmVqw2le9uLjSUTkROitVmcN2HS9m0r4AwP09sBozuEsXtI9oCMLRdBFcNaMmni3fzxuwdvDF7R43Hn9M9hruT2nHVgAQ2pFkY0cE+EdjDzczH1/dnT24xrSMabp5Jbe4Y2ZayShub0y0sS97P/uIKvliawvVDWjm1XU1VclUwasj5RdUSQn3ZuM/imOMk4uqyCsr4oGo9tkfP6ez091NXc9PQ1nywYBd7cku48t3FvHBJD8cFFGm61GMkIiflwwW7mLctm+zCMrZkFOButq+JcbAnzu/CtKt7E161TkzrcD/uPL0t1w5sydMX2Me5RwZ6M7JjZI0x3B5u5kbxIR7i58mT47ry9a2DeGpcVwC+1qro9WaXIxg1/JePllW9VApG4urySyq4+ZPl9Hv6L8oqbfSMD2ZUp0hnN8vl+Hi6cWXVqIUlu3J5+Pv1Tm6RNAT1GInICcssKOWlmVtrbJt0ZnvaHTJMw2QyMaZrDAPbhLMnt5jOMYGYXbSIwTndY3jsxw1s2mdhV3YRrcL9nN2kJmfTPnup7kPPo4bQtmpI58Y0S4MfW6SulFZYufb9JaypWigZ4NbhrVU84CTdMbItaXklfL86jQXbs8kvrtAcrSZOwUhETohhGDz762aKy630iA/m/jM7sCOrkGtOO3I57SAfD4LighqwlXUv2NeTgW3CmLctm9Evz6VLbCC3DGvNmK4xzm5ak7C/qJzUPPs6Qp1jAxv8+D3jgwFYl5pPpdWGewMWfxCpC5VWG4//tMERikJ8PRjQKowzOkc7uWWuy8/LnZcv78WmfQVsySjgl3X7KCyroKjMyoW942gZpgtkTY2CkYgct8yCUqb8sIHf1qcD8PDYTvRLDGVIu3Ant6xhXNArjnnbsimvtLEqJY8nftpIUqcofYmuA5v22XtqEkJ9CfRu+CuyrSP88fN0o6jcyvasQjpGN3w4EzlZJeVWLn93MWv25AHw0YR+jOig4XN1ZUzXaLZkFPDQd+sc25Yl5/L5Tac5sVVSH/RpLiLH5atlexj14j/8tj4dd7OJ5y7qRr/EUGc3q0GN6xnH9BsH8J+zOwGQll/KrM2ZTm5V07ChaghbFyf0FgG4mU10rerVXLsn/xh7izQelVYbL/+1lTV78gjwduf5i7srFNWxS/q2OGzbkl255BdXOKE1Up8aJBi98cYbJCYm4u3tzYABA1i6dOlR9//666/p2LEj3t7edOvWjV9//bUhmikih7DZDP7ckM6tn67g3/9bS0FpJd1bBPHd7YO5rJ/zSmk7i9lsYnDbcG4a1ppbh7cB4H8qxlAnVldd6e4c47yemurhdMuSc53WBpHjZbUZPP7TBno9OZO35+4E4L8Xd+fSvvFOblnT0yLEl2HtIxy3W4X7YbUZzNmqC2NNTb0Hoy+//JJJkyYxZcoUVq5cSY8ePRg9ejSZmbWfTAsXLuSKK67ghhtuYNWqVYwbN45x48axfr2qgYg0tIlfrOTmT1fw+wb70Ll7ktrz3e2D6dbCtecL1YUzOtuvyK5MycMwtMbFqZi/LZtf1u0DYFDbMKe1Y3jVF58/NqRTVqn1qqTxsdkMXvlrG9OX7ObntWl8uCCZgtJKAr3duWNkG0Z30Xyi+vLMBV0Z2i6ct6/p4/g9/7hai343NSajnj/RBwwYQL9+/Xj99dcBsNlsxMfHc+edd/Lggw8etv9ll11GUVERP//8s2PbaaedRs+ePZk2bdoxj2exWAgKCiI/P5/AQI0RFzlZGZZSBjwzC4DrBiVydrcY+rdqXkPnjqa0wkq3x/6gwmow798jtb7FKTjntXmsT7Vw1YAEnr6gm9PaYbUZDHp2FhmWMqZd3YcxXfUlUxqXvzdncP1Hy2tsmziyLfec0R43F6346Yq2ZhRw1ivzsNoM3riyN5kFpQxtF07bSC2g2xidSDao1x6j8vJyVqxYQVJS0oEDms0kJSWxaNGiWh+zaNGiGvsDjB49+oj7l5WVYbFYavw0JhVWm7ObIHJSluyyDyfqGhfIY+d1USg6hLeHG52qhn1VDwOTE7cjq5D1qRbczSbuPWQdrIbmZjZxfs84AH5YnerUtohU+2drFnfPWMXHC5P5aOHuGvdFBXpx64g2CkUNrH1UABMGJQJwx+crefynjdz5xWqNHmgC6jUYZWdnY7VaiYqKqrE9KiqK9PT0Wh+Tnp5+QvtPnTqVoKAgx098fOMZW7svv4RzX5vPd6v2kmkppfKgkFReaeON2dtZsdu1xrKXVlgpLq8E7HMrXvpzC1bbib0RWEorWLgjm3fm7uD53zdTVFbJruwibvpkOcOen83inTn10fQmLbeonILSup0EuqTq/2FAK+cNbWrselXNSVmVkufUdriy6qEoQ9qFE+rn6eTWwPk9YwGYtTmT/BJNrBbnWrwzh/EfLOX71WlM+XEDc7dmYTLBv05vy6PndOaniUPw91KBYWe498wODD5o6O+mfRbW7lXhFlfn8n9NkydPZtKkSY7bFoul0YSjr5fvZXN6Afd8uQaApE6RvHttX0wmE+/M3cELf27F3Wxi61NnNbpFLyutNu76cjU7Mgu5akACV5/WkgqrwUVvLWRHViEDW4cxe0sWAG0i/enRIph0SymntT7yl+iUnGKm/raJPzdm1AhT87dnsy2jkJIK+5j+8R8spW9iCIHeHgxpF84V/RIa3e+nMUnPL+XM//uHcH8vfrt7KF7ubnXyvNU9RuopOrJeCSF8vGg3q/bsd3ZTXNa8bfb3kbHdGsd6UJ1jAmkX6c+2zEJ+X7+vWRYZaQpyi8r5Y0M65/aIdbngYBgGM6s+Jw9dSBvgsr7xTHJy76qAj6cb74/vx4+r0/h8aQqr9+QxY9keelRdMBPXVK/vFuHh4bi5uZGRkVFje0ZGBtHRtY/djo6OPqH9vby88PLyqpsG17GJI9uyLbOQn9bYr4j+tSmTH9ekMaZrNB8sSAag0mawNDmX1P0ldIkLbDRrZ7wxewe/rLVPhn7khw20CPFlb16Jo6RudSgCuGvGatzNJiptBhf2juNfp7cjMbzmome7sou4ZNpCsgvLAYgP9SHE15O1e/MdV1giA7zw9XQjOaeYBdvtvRW/rU8n01LGPWe0P652l1VaWbk7j14JwXh7HB4QVuzOZeqvmympsHJ6x0huHtaagIPWTFmfms8rs7Zx5YAERjaCcqeGYfB91ZCeMzpH1/oB//78nVhKK7GUVvLNir1cNaAl36zYi5+nG2ed5JfN7ZmFbM8sxN1sYoCC0RFVVzHbkGahrNJaZ6G0OdmVXQQ4Z1HX2phMJs7vGcsLf27lzw0ZCkYuKNNSyuXvLmZnVhEb0yw8Oa6rs5t03ErKrTzwv7X8uObApH5vDzPTbzyNCR8uJTrIm0fO6ezEFsrBvD3cuLRfPFFB3oz/YClzt2Yd+0HSqNVrMPL09KRPnz7MmjWLcePGAfbiC7NmzWLixIm1PmbgwIHMmjWLu+++27Ft5syZDBw4sD6bWi/MZhMvXtKDwW3C+HtzJn9uzODer9bw3G+byS0qd+x33YdLKa2wD7O7ZXhrMi1lnNE5irNP8kttSk4x3p5mIgO8Hdu2ZxawaEcOHaIDiQzw4u/NmaTllbA7t5jYIG8u6tOCcH8vYoN9+GlNGi/PqnmV6s4vVjmG0AV6u9MpJpBOMYF8uWwPJRVWKqt6gL5dmcrv69P56c4htArz44U/t/D35kx2ZhVRbrXRMTqAly/v6QiAq/fk8cj369mVXcSbV/WmV0II787bydytWQR4u/PHhgzemL2dc7rH0C7q6JMaDcPg9s9WMmtzJlGBXnRvEeyYt9A20p99+SXc/MkKcqp+9xvSLCzdlcunNwwgJbeIJ3/exD9Vb2ozN2Zw9WkJnNk5mqHtwsktKmfutixO7xBFkG/DLT7509p9jh7H1uHb+e72wTWOX1hWyedLUhy335y9g/ZRAdz3tf0x/7ttEH1ahpzQMffuL3YsYje8fQTBvs4f3tRYtQzzJcTXg/3FFWzaV+AISnJ88osr2F+1DkhiI1pBfnj7SF74cytLduVSabVpAV8X88gP69mZZQ/c05fs5u6kdoT5N84LqAdLzSvh5k+WOy5Amk32uSwPjOlIn5YhzH/wdDzdzLVe9BPn6tMyBLPJ/n+Ynl9KdJD3sR8kjVK9V6X78ssvGT9+PG+//Tb9+/fn5Zdf5quvvmLz5s1ERUVx7bXXEhcXx9SpUwF7ue7hw4fz7LPPMnbsWGbMmMEzzzzDypUr6dr12Fd9GmtVuvJKG7dPX8Ffm+xlyr09zFw/uBVvztlR6/4B3u4s+0/SEd8A527Nwt1sYmCbMEwmE5vTLdwxfSU7qj4MfDzceOL8LpzTPZYNaflc8e5iKqzH/q+OCPAiq6AMgGtOa8l9Z3Zg5ItzHEGuU0wg398xyHFlfFlyLkt25tA1LggfDzfu/nI1+/JLuea0lri7mfiwqmcM7JP4P7yuPxEBh39A1fblwzAMbvpkOX9tyuSc7jG8fmXvI7Y7p7CMN2bv4IMFuw67r2/LECaf3YkbP17G/uIK4oJ9uGNkW575dROFZZX8a1Q7/tqYwcZ9tRfu6NMyhI1pFkoqrHSKCaRnfBBbMwq5bXgbkjpHYRgGszZl8vGiZC7vl8DY7icWaLMKygj0cT+st6G0wsqoF/8hNa/EsW1khwjuH92RlSn76RYXRFZBGTd+spzIAC9sBmQXltV4jsgAL+49sz3D20dy5xcr8XQ3M+3qPszekkVZhZWO0YFkFpSyeGcOv65LJ6eozBHSAV6/shfndI89odfT3Fz/0TL+3pzJlHM7M2FwK2c3x6Ws3pPHuDcWEBngxdL/JB37AQ3EajPo9cSfWEor+e72QfRKOLGLC3LiyiqtpOWVkhjmi8l08kOn1+zJ4/w3FmAygaebmbJKG1cOSMDP041rByY2uuqRO7IK+b+ZWykorWT1njzySyoI9fPkzat6H3VoujQ+Z78yj437LLxxZe8T/h4g9etEskG9ByOA119/nf/+97+kp6fTs2dPXn31VQYMGADAiBEjSExM5KOPPnLs//XXX/Pwww+TnJxMu3bteP755zn77LOP61iNNRiBvULddytTybCUMrprNO2jApj4+Up+rhqyFhXoRUyQj6PC1aHlYn9Zuw9fLze83M1c+e4SAM7uFs1T47ox8oU5JzRRuH2UP8PbR+DhZuaPDemk5BY7gpPJBNee1pJHz+2Cm9nEpn0W7pqxiqIyKzNuPu2oHywLtmdz1XtLamy7sHccw9tHcFbXGDzdT+zK66Z9Fs56ZR5gv3r2xU2nMeCQD4sX/tjC67O3O24/ek5nissreX/+LsfV6GqdYgJ5++o+JIT58t2qvY7emGoTR7Zl/KBE1qfl88vafXxzlMU7W4b58tkNA7h9+krWpdqHA3q6m/n+9sF0jg0kPb+UKT+uZ32qhSsHJHDHyLaHPceHC3bx5M8bGd4+gg8n9KfCamNbRiH3fb3GEdRig7x5/areXP7OYsorD4QWbw8zfVqGsGB7Dlf0T6BNhB9P/bLpeH6tx+Tr6UbX2CA+uaG/rk4ew2uztvHizK2c1yOWV6/o5ezmuJTvV6Vy95er6d8qlK9uaVyjAm7+ZDl/bszg/tEdav3blbp15xer+GlNGsPbR/Dq5b3IKCjlpzVpdI4JJCHMly6xQWzPLOCPDRlc0T8BX0831u7NJy2vhDFdox3vU3dMX8kv6/ZxYa84BrcN596vD7zHxwR588c9wwj0Prlef8MwmLM1iz4tQ07qOfbuLyYiwIvVKXlYSivJsJTy5M8bKTvofb1LbCBvX9OHFiGNK8DJsT3y/Xo+Xbyb0V2imHZ1n1MK+FK3Gl0wakiNORjVpqiskhf+3MKgNuGc0dlejW/qr5t4e+5O4kN9eOeavnSKCXRcWa3NuT1i+WlNGuH+npzROYo2Ef4UlFbyyqxtjn1C/Tz5/vbBPP3rRtzNZl64pAc+nge+8NpsBvuLy9mRVURUoBctDxnWYhgGVptxzCElhmEw5uV5bMkoAGBY+wg+ub7/Sf1uqt3x+UrHfKeYIG9+v2uYYzjZHxvSueXTFYB9iN/DYztzab8DxTf+b+ZWx+8hyMeDeQ+MdHygVVhtdJnyhyNsvHhJDy7q06LGazn9xX8ccyCqf8+ebmbKDynD7u1hdvS0tI7wY9IZ7Xl11ja2ZhQ69rnmtJasT8unbYQ/vauGt03+dp3j/klntOftf3ZQVF5zYclXLu/J+T3jeP3vbbzw5+ETcQFeu6IXSZ2iuOq9xaTllXJujxgmndGB6Ut288pf2ygoq6yxv8kEvlVfJFpH+NMq3I8xXe1zmIJ8PDR59ARUXwyIC/ZhwYOnO7s5LqX67/OyvvE8d3F3Zzenhg/m7+KJnzcysoP9ooXUn13ZRYx8YY7j9oBWoezIKqrRA947IZid2UXkVV3s8nAzOS7mJXWK5PUre7M1o4Dz31iAYcCv/xpKyzBfukz5o8axWob5kldcQWywD1Mv7HZCw18/X5LCQ9+to2N0AF/dOpA9ucV4ubvRJsKv1i/BpRVWLCUVBPl6MPnbdXy7svYS8B2jA2gR4kvP+CBuGtZacxVd1K/r9nH79JUA3DCkleaCNSIKRi4UjGqzPbOAsa/Op6zShtkED57VkdIKW43qNF7uZnolBLN454Fy389d1K3GROGlu3IxmSDC3wt/b3fCG2iM9fbMQi57exE5ReXMuPm0Ux4OUFphZeXu/fxrxiqyC8u55rSW3DysNWWVVi58cyGW0kpuHtaah87udNhjbTaDZ3/fzOdLUnj2om6HDQt7a84Onvt9Mxf1bsELl3Q/7MNtzZ487vlqNXcntWdkhwjem7eLc3vE8PHC3Xy62L6eRKC3O7/8ayh+Xu6c9cpcMiwHPswjA7zwdDezd38JJ2NUx0jeG2+vZFheaT8H4oK9Gds9lrGvzmNffikAy/6TVOsQRbBP5s0pKiM60JstGQVkWsronRBCkK8HhmHoqtYpKiqrpPvjf2K1GSx88HRig32c3SSXcdeMVfywOo0HxnTkthFtnN2cGlbszuWitxY1umF+TYVhGJRbbXi5u/HQd+v4fEkKIb4e5JdUcPAKEK3C/RwXpw4V7u+JpbSyRk86QPcWQfw4cQhAjVEZh2oT4cef9wx3rAFUXmnjt/X7SAzzw8/LjZdmbmVUxygu7G1f2+qM/5vL9szCw57n2oEteeL8mkP9N+2zcNFbCyk+5EJXtQ5RARgYnNE5iklndNA6RE2AYRg8/8cW3pqzAw83EwsfHHXEz2VpWApGLh6MwP6m+trf2/h1XTpe7mbaRwWwLjWff41qh6+nG51jAvHxdOOSafaFbwO83Vny0Ch8PRtHWdIMSyl795ec8MT/o5m/LZur319y2Pae8cF8dcvAow7Ts9qMWj94bDaDDWkWusQGnlBJ8PT8Uh7+3t7bc9uINvRpaa/ctnhnDjd9vJzIQC9Gdohk/KBEAr09ePb3zWzNKKBFiA82A2ZvzqSwrJIAL3cmDE7k1b/tQwFvH9GG8YMSCfH1xGQCN5PpiO3ak1vMrZ+toEN0AC9d2vO42y5179zX5rMuNZ9Xr+jFeT00J+t4nf/6fNbszWfa1b0Z07VxjckvLq+k65Q/sBmw9KFRRAZqMnVdKau0cufnq/hrUwY94oNZvScPw4AZN5/Git37ee3vbXi4mfngun70Swzlu1V7mb44hc6xgZzfM47FO3MY3j6CLrGBzN6Syb+/WVejd+nguZG5ReV8sTSFK/sn0PupmRz6jad1hB83DW3NxX1a8MRPGx0XvA7WKtwPbw83Nu2z4OvphtVm1Bj+5uFm4r3x/Xjo23X0TAjmqfO78vAP6x0jHaqN7R7D+tR8BrcN5+lxXXVRqom64M0FrErJ494z2nPnqHbObo6gYNQkghHYrz6MeGEOu3OKHdvm3DeiRinsb1fuZe/+EkZ0iKB7i2AntLJh3fDRMmZtznTcHtQmjBcu6eFyV+nzSyp46c8tDGkXQb/EEG78eDn9WoXy79Ed9GHpgh77cQMfLUxm/MCWPH6+65QGdibDMOjxuL3Awe93D200SxUc7IyX/mFbZiEfXNeX0ztGHfsBckyHFiKqduhwyhPpzS6tsLIru4hW4X5U2owjrlv067p93D1jNc9e1I2SCiv/+W69474wP09yi8sPC06HunV4G05rHcoD/1vLxX1asHhnLit2H3kds4MLGi1/OIkwP0+9xzdx1XMnowO9mffASDxU1dLpTiQbNI7uBamVyWRiTJdo3p67E4DEMF9ahtWckHlh7xa1PbTJev3K3qzas59e8SGUV9oatHR2XQry8ajxBfqb2wY5sTVyqvolhvLRwmSWJWuh1+O1v7gCS6l97lvL0MZTqvtgXeOC2JZZyPpUi4JRHdiaUcAD/1vLqpQ8vNztc133F5eTVVDGrcNrDqU8kfDg7eFGp5hjB+uzu8XUWAajb8tQZm/J5LnfNzuWcbi4Twv+PaYDv61LZ3SXaFbvyePJnzcytF04Ewa3on2UPyaTicWTR2EymfhrYwY3frIcsBcISgzzY2fV0L9zusdwd1I7Ln17Mef1iG2w4eziXGd1i+apXzxJt5Ty54aMZlWhrrTCyt+bM7GUVHBxnxYk5xTRNvLoS600NgpGjdzY7jG8PXcnvp5uvHhpz2Z/pcnH041BbcId/xZpDPom2oeMbk63UFBaUWPRYKld9byR6EDvRvu33L1FEN+tSmXprtxj7yy1qrDaKCitxNPdzPgPlrIvvxRfTzemXd2HYe0jnNq2DtEBdIgOwMPNzFO/bGRMl2ieGtcVbw83xg9KBGBMUHSN6rDVqj+LkzpH8eoVvXjj7+1cOSCBS/vG8/PaNAK8PRjVKRIPNzMrHzmjIV+WOJmXuxtX9E/gtb+38+ni5GYRjPJLKpi/LZsXZ25xrCH24Lfr8PYw89PEIcdch7IxUTBq5Lq3COazGwYQF+JDq/DGeVVVpLmLCvQmPtSHPbklrErJc/oXPleQXBWMEsMbb1niER0iefynjSzemUN+SQVBPqceeDMLSvlgfjKxwd64m830bhncKIcR1gWrzeC6D5eyYHuOY1t8qA9f3zKoUS2AecOQVlzUO+6kF7M+r0dsjbmFl/SNP8re0hxcXhWMFu/MZe/+4iZbfn1DWj7J2cW8Pns7m2pZC9JaNY9bwUjq1JB24c5ugogcQ7+WoezJTeXaD5by5PldGNEhstEtJtmY7M6xB6PGfMGnVbgf7SL92ZZZyJwtmZzfM+6Unm93ThHnv7HAUXIaIMTXgz/uGUZkQOMJCnXl/fk7a4QiT3czUy/o3qhCUbWTDUUitYkL9uG01qEs3pnLD6vTmtRaaE/9vJFFO3PolxjKJ4uSa1SRPKd7DI+e05kf16QxZ0sWD4zpSLcWQc5r7EnQjDARkTrQv1Wo49+P/LCBoc/P5l9frCLTUkoTq3FTJ3ZVFZVJDGu8wQjgzC72uUU/rE475ed68c+tjlDkXlVtcn9xBZP/t47dOUUUl1ce7eEuxTAMPpifDNjXaPv8xgH8c/8IXeiTZqN6Dvgni5IpKmsaf9s5hWW8N38XG9IsfLSwZih6eGwnXr+yN5GB3tw4tDWf3TjA5UIRqMdIRKROXNA7jnRLKYWllaxNzWd5ci4/rknjxzVpdI0L5OXLerrcJNT6YrUZrEi2z9tpG+nv5NYc3UW9W/DG7B3M3pLpqHx2opbuyuXuGatIq1p37Oc7h9ApJpDtmYWc+9p8Zm3OZNbmTBLDfPnfbYMIawKT9JNzikm3lOLpZubmYa3x9mic88hE6st5PWJ5/e/tpOQW8+qsbUw+uxM5hWX4e7u77CK+f27McPw7JsibR8/pjLenG1vSCxzz8lydeoxEROqAl7sbdye15+FzOvPVLQN5b3xfwvzsw3PWp1q47+u1Tm5h47FgezZp+aUEerszuG3j7kFoHeHP6R0jMQz4eGHyCT9+3d58rn5/iSMUXd4vnq5xQbiZTXSIDmDSme0d+ybnFHPf12vqqulOtWiHfQhdz4RghSJplrw93JhybmcA3p67k15P/Emfp/7ilk9XOLllJ+/Xdfa1ue4f3YGFD57OWd1iGNkhkluHt2kyZcmbxqsQEWlkTu8YxbL/JDH3/pEArN6TV2MRyubsmxV7ARjXK84lvjRffVoCYP9SYLMd/7BIq83gP9+vo7zSxrD2ESyePIpnL+peY5+bhrbmuYu68eT5XQCYszXLse6NK9qVXcTv6/cxf3sWAANbhzm5RSLOM6pTFBf3sQ+p2181jHbOlixWptRc2qGxDbdesjOH2VsOrDU26avV9Hv6L+Ztywbspe+bapVkDaUTEaknZrOJhDBfOscEsnGfhfnbshnX69Qm8Ls6q81gTtUH7qkWM2gog9uGE+DlTmZBGStT9tM3MfTYDwLenbeTtXvzCfBy54VLutdaYMHNbOKyfvbg9dXyvaxLzWfWpgwu759Qp6+hPlVYbRSXWdlfXM75r893rE8FqEKjNHuPn9cFfy93gn09WLg9h6XJuYx/fylTzuvCRb3j2JBm4aZPljOwdRgvXdYTsK8H5GY2NXgvTIallMd/2sCv69IB+PSG/sQE+fDtylTHPp1iAht10ZxTpWAkIlLPhneIYOM+C7O3ZDb7YLR2bx6W0koCvd3pGR/s7OYcFy93N0Z1iuT71Wn8tj79uILRit25/PePLQA8NLbTcVWdO7NzFOtS85m50TWCkc1msDY1n4mfr2Tv/pLD7r/6tAT6tAxxQstEGg8/L3ceO8/eI3xuj0IufHMh+SUV3Pf1Gp7+ZaOjJ+nbValcP6QVecUV3DZ9BRj2qsR9WoaQ1CmKxHoOIytT9nPjx8vJrVrsGOCpnzcxvEPNixtn1bKuV1OiYCQiUs+SOkXy1pwd/L4+nayCMiICXH9y/cmqHooxuG04bmbXGYqR1DmK71enOebOHElaXgnP/76Z76uq2J3bI5bL+x3fujZndonmxZlbmbc9m6KySvy8GudH9PrUfCZ/u471afkcOgIoIsCLKed2JrugjKtOa+mcBoo0Um0i/Jl93wi+WJrCy39tdYSiav/+Zi3bMwspt9oA+G19Or+tT+f/Zm5l+k2n1fnFpIXbs/lpbRq7sotYvNNeEKdLbCAPj+3MzZ8uZ0tGAVsyChz7e3uYGeciPf0nq3G+64qINCG9E0LoGR/M6j15fLhgF/8e09HZTXKK/UXljvlFrla2uV9VL9HmdAuW0goCvQ9f7DWnsIzL31lMSm51KXJfnrmg63GPxW8f5U9CqC8pucXM3ZpFqJ8nq/bksTOrkEFtwhtFb2OF1cYNHy8jw3JgHlTbSH+8Pcyk5BQz7ere9Gl5fEMNRZqjUD9P7hjZlmHtInjyl410ig5gXK84LnhzIRurFkkd2DqM+8d0YN7WbH5Yk8rOrCJu/mQ5c+4fga9n3Xx1n78tm2s/WFKj5PbA1mG8f11ffD3dGd4+gp/X2ost+Hq6MfffI6m0Go1yHbK6pGAkIlLPTCYTtw5vw62freDrFXu578wOmF2ot6QuFJZVcuMny0nJLSYu2Iex3WKc3aQTEhXo7Qgtq1LyGF7L3JlXZ20jJbeYqEAvbh7WhrHdYgioJUAdiclk4szOUbw3fxe3TV9Z475vV6bSIz64wcf2r9mTR05RGad3tK/nNHdrFhmWMjzdzMQGe2MpreSNK3vTPsqfskqbSxTTEGkMurUI4qtbBjpuj+sZ6+hpvn9MB3onhNA7IYQbh7birFfmkZJbzIcLkmssFrsyZT++nm50jA484nF2ZhUC9gqb1fbkFjPxi5XYDOidEExoVQXVly7r6QheQ9qGO4LR4LbhhDeBZQSOh4KRiEgDOL1jJAHe7mQVlLEiZb+jB6Kp+339PuZty2bTPgsrU/II9Hbng+v6Eezr6eymnbC+iSGk5BazPDn3sGCUmlfC50tTAPi/y3oyqM3J9Yid1S2a9+bvAsDT3cyZnaNIzilifaqFmz9ZzjMXdiPc34tAb3cCfTx49If1hPl5ce+Z7U+4SpRhGDUek2Ep5ZsVe9lfVM7gtuFEBXpz4VsLsdoMfr5zCF3jgvhy2R4ArhnYkofHdqoRhhSKRE7e5LM7sTY1n57xwfROODA3z8/LnXvPbM9dM1bz1pwdDG8fQXyoLyk5xVz81kI83c38+q+hzNqUSbqllFGdItmWUYiflzshvh7c9tlK3N1MzLl/BJEB3lhtBrd+toK84gp6tAji85tOq/Vv9+ClFAa1aT7VJRWMREQagKe7maROUXy3KpWf16Q1i2BUWFbJpK/WUFxuBcDL3cxnNw6gQ7RrLnR7Wuswvl2ZytfL93LbiDY1hrTMWJpChdXgtNahJx2KAPq0DOWtq3pTUFbJ0HbhxAT5sDndwnmvL2BbZiGXTFsE2IfjnNM9hi+W2oNKWn4JRWWVxAT5MOXczjUCz8Lt2diMmsMXK602rnh3MRmWMh4/vwsDW4dxwRsLHOstVYezam/N2UFkoJdjgcdL+rbAZDIpDInUkahAb/6+d0St953bPZaPFiazKiWPc16bj6eb2TEPqbTCxukv/uPY9/1D/nYByq3w/rxdTD67Ez+tSWNDmoUgHw+mXdPniH/D8aG+9EsMYXtmIWO7u1YP/6lQMBIRaSBnd4vhu1WpfLJ4NzHBPtw8tLXLDqnbmVVIen4pg46yQOs3y/c4QhHApDPa071FcAO0rn6c1yOWV2dtY+/+El76cysPn2NfvNFmMxzlbK8acOoFB846ZJhhx+hAfr5zCO/N28nXK/ZiGJBbVM4ni3Y79jm4nG6X2EBaR/izv6icuBAfrvlgKVabwSPndOaqAQlU2gz+2pjBsmT7Wiq3fLKCO0a2JS2/FHezCT8vd/JLak4K/6VqYUeAyWd1POrQHRGpW2aziWcu6Mb5byygvNLmCEW17muC2pZb+3Txbq4+rSWvztoGwM3DWhMT5HPU4356wwAqrLYTGhLs6kxGY1tV6hRZLBaCgoLIz88nMFBv3CLSeBiGwZQfNzi+0F41IIGnL+hWY58Kq40vlqbQNtL/lHoe6lNqXglnvTwXS2kl394+qMawj2pWm8HpL85hd04x1w1KpHfLEM7pFuOyQbDa7+vTufUz+8r1z1zQjSsHJLB4Zw6Xv7OYAC93lj2cVK+9KDuzCqm0GTz580bmbcumZZgvZ3aOYvnu/axKyTuu5zjSFyeAh87uSN/EUC58cyEA957RnulLUki3lNK3ZQjXD2nF2S42P0ykqdiTW4y7m4mcwnI2plnoFBOIp7uZ26avIMzPk89uHEB6filFZVZu+mQ5AD9MHMzNnyxn5UHvDyG+Hsx74HT8G2nly7p2ItlAwUhEpAEZhsFnS1J45Pv1mE0wc9JwZm/OJK+4grO7xTD1t02OktYdogK4tF88NwxpdVLH+nblXtanWhjQOpTRXepm7YmC0gqufn8pa/bkAXBh7zheurTnYfv9uSGdmz9dQZCPB4smn15nlZQag1f+2sb//bUVX083/po0nJf/2spXy/dyWd94nru4e4O1I9NSio+nm+NqbqXVxsXTFrG66v/mYJEBXmQWlNXYFurnyXWDEnlp5lYAAr3dmffv0wny9eDf36xhT24J71/Xl5zCcjIspfRpGdJkV7sXcWWGYWAY1LjwVFph76339nBja0YBY1+dR4XV/pX/gTEduW1EG6e01RkUjBSMRKSRu/q9Jczfnn3M/dzNJl69ohffr0olIdSXe8/sgI/nsXskliXnOuajuJlNLHrwdCIDT67Mqs1m8H9/beWfrVnsyS2usfaGp7uZpQ+NOqyYQvXru3V4Gx48q2mVJ7fZDC55exErdu+nZ3wwa/fmYTPgy5tPY0Br505S3ru/mHFvLMTPy43PbhjAkz9vxN/bnYfHdmbsq/OotBlMu7o3Xu5uxIf4Um610e/pvwB44ZIeXNynhVPbLyL1Y962LB7+fj3e7m58e/ugRrtOWn1QMFIwEpFGbvaWTCZ8uAywhwuzyT6J9v/bu/+gqOp+D+DvXWBXEJYF+bEQP1UUEeEiKJKZ3oHrj7hZjU+P49C9mlmPhhPecRwtM71/FM7TPM1UT0PXfmjz2BM3u0FWKhIiZRcxEBSwB1EJuCqgIrAggrCf+wd5xhWzNN2z7L5fMzuj5/uF+ZzznsOZz5w93wMA//VviTC6u2HxtsPDfm58gCfeXpKASUHWf9+qmjtwrLkDU0K8oXPRIvPvR9F46Yoy/nL6JFy+0o9BC7B27gS4uWh/U53N7Vfwl/11yjKywNBLPLcvm4b1/3Mctee68HL6JKyYNVYZv3ptEHFb9qN/0IKitbMx7oZlYh3FyVYzFv71kJJZiI87vl33z3bxVcEr/QPQ3mJhhJ6+AQgw7Oszu4+dw+Wefvx7SjjvCBE5uJtXo3QGbIzYGBHRCFD8jzac6+zFw1H+cNFqsOrjo0gK98Gmnx/qL6htwZ/+NvQ8S0yQAc2Xr8B8dQC+o3X49E8zcMHcj78d/gn/OG/GmYs9w36/h84Fy2dG4q/Fp6y2L5oagr/8Mf5X69tV3oxXvqhF789fyVj2YATSJgUiKcIHo9xc8PeyJryUVw2TYRQOrpuD/kELLvf0o6XzKhZvOww/Tz1+2JjqsBfhr46fw5rcKviO1uHPf4jDnIkBapdEREQ3YWPExoiIHICI4JMjzQjw0iMtJhDtPf1Ysu0w6lrNw+ZqNEPPkbR2DT1HMn+yCS+kRiHQoMfDfy5Gzw2rwwHA3qxZw+463WhXeTPWfXYcADA9whdr/iVq2GIQ3X0DmPFaEbr7BhDkPQoWEVzs7seMsb74/tQlpE8JwjsZU3/vYbBrnb3X4Kl3hYsd3CkiIqLh2BixMSIiB1XZdBl/eLcUgxaB0cMNU8N8MDcmEPGhRkSbvPD50bPw0LlgfqxJuVNTc7YTHx5qgJ+XHo2XelBQ24oVD0Xi5X+NwaXuPqz57yq09/QjKdwHV69Z0NR+BaVnLgEAnp4ZgU3pMb/4FbFvTrRiY3610pDdaMujMVg28+4WjiAiIroX2BixMSIiB1bfaoarixaRfqPv+GcLT7Qqy7jOnuCPisbL6O4bGDZPoxl6z8X6edG/+txMReNlLMr5X6ttOhct9v/Hw4i4ixqJiIjulTvpDZxnSQoiIgcRFeh11z87Z6I/xvmPxukLPSg5eQHA0DLNSRG+GOWmxSSTAcbROkyL8PnNL/FMDPfB83PGobzxMv5z4WT83+VexIV4I/AuV8EjIiJSA+8YERE5mb6BQZSevoQPDjUAAN744z/B30uvclVERET3Hu8YERHRL9K7umDOxACuokZERHSD3/YiCyIiIiIiIgfGxoiIiIiIiJweGyMiIiIiInJ6bIyIiIiIiMjpsTEiIiIiIiKnx8aIiIiIiIicHhsjIiIiIiJyemyMiIiIiIjI6TncC15FBMDQW26JiIiIiMh5Xe8JrvcIt+NwjZHZbAYAhIaGqlwJERERERHZA7PZDG9v79vO0chvaZ9GEIvFgnPnzsHLywsajUbtctDV1YXQ0FA0NzfDYDCoXY7TYx72h5nYH2Zif5iJ/WEm9oV52B97yUREYDabERwcDK329k8ROdwdI61Wi5CQELXLGMZgMPBEtSPMw/4wE/vDTOwPM7E/zMS+MA/7Yw+Z/Nqdouu4+AIRERERETk9NkZEREREROT02BjdZ3q9Hps3b4Zer1e7FALzsEfMxP4wE/vDTOwPM7EvzMP+jMRMHG7xBSIiIiIiojvFO0ZEREREROT02BgREREREZHTY2NEREREREROj40RERERERE5PTZG99E777yDiIgIjBo1CsnJyThy5IjaJTmsb7/9Fo8++iiCg4Oh0WiQn59vNS4ieOWVVxAUFAR3d3ekpaWhvr7eak57ezsyMjJgMBhgNBrxzDPPoLu724Z74Tiys7Mxbdo0eHl5ISAgAI8//jjq6uqs5ly9ehWZmZkYM2YMPD09sWjRIrS2tlrNaWpqQnp6Ojw8PBAQEIB169ZhYGDAlrviMHJychAXF6e8aC8lJQV79+5VxpmHurZu3QqNRoM1a9Yo25iJ7W3ZsgUajcbqEx0drYwzE9s7e/YsnnrqKYwZMwbu7u6YMmUKysvLlXFe320rIiJi2Dmi0WiQmZkJwAHOEaH7Ijc3V3Q6nXz44YdSW1srzz77rBiNRmltbVW7NIe0Z88e2bhxo3z++ecCQPLy8qzGt27dKt7e3pKfny/Hjh2ThQsXSmRkpPT29ipz5s+fL/Hx8XL48GH57rvvZPz48bJkyRIb74ljmDdvnmzfvl1qamqkqqpKHnnkEQkLC5Pu7m5lzsqVKyU0NFSKioqkvLxcZsyYIQ8++KAyPjAwILGxsZKWliaVlZWyZ88e8fPzkxdffFGNXRrxdu/eLV9//bWcPHlS6urq5KWXXhI3NzepqakREeahpiNHjkhERITExcVJVlaWsp2Z2N7mzZtl8uTJcv78eeVz4cIFZZyZ2FZ7e7uEh4fLsmXLpKysTM6cOSMFBQVy6tQpZQ6v77bV1tZmdX4UFhYKACkuLhaRkX+OsDG6T6ZPny6ZmZnK/wcHByU4OFiys7NVrMo53NwYWSwWMZlM8vrrryvbOjo6RK/XyyeffCIiIidOnBAA8sMPPyhz9u7dKxqNRs6ePWuz2h1VW1ubAJCSkhIRGTr+bm5usmvXLmXOjz/+KACktLRURIaaXa1WKy0tLcqcnJwcMRgM0tfXZ9sdcFA+Pj7y/vvvMw8Vmc1miYqKksLCQpk9e7bSGDETdWzevFni4+NvOcZMbG/9+vXy0EMP/eI4r+/qy8rKknHjxonFYnGIc4RfpbsP+vv7UVFRgbS0NGWbVqtFWloaSktLVazMOTU0NKClpcUqD29vbyQnJyt5lJaWwmg0IikpSZmTlpYGrVaLsrIym9fsaDo7OwEAvr6+AICKigpcu3bNKpPo6GiEhYVZZTJlyhQEBgYqc+bNm4euri7U1tbasHrHMzg4iNzcXPT09CAlJYV5qCgzMxPp6elWxx7gOaKm+vp6BAcHY+zYscjIyEBTUxMAZqKG3bt3IykpCU8++SQCAgKQkJCA9957Txnn9V1d/f392LlzJ5YvXw6NRuMQ5wgbo/vg4sWLGBwctAodAAIDA9HS0qJSVc7r+jG/XR4tLS0ICAiwGnd1dYWvry8z+50sFgvWrFmDmTNnIjY2FsDQ8dbpdDAajVZzb87kVpldH6M7V11dDU9PT+j1eqxcuRJ5eXmIiYlhHirJzc3F0aNHkZ2dPWyMmagjOTkZO3bswL59+5CTk4OGhgbMmjULZrOZmajgzJkzyMnJQVRUFAoKCrBq1Sq88MIL+OijjwDw+q62/Px8dHR0YNmyZQAc4++Wq9oFEJFjy8zMRE1NDQ4dOqR2KU5v4sSJqKqqQmdnJz777DMsXboUJSUlapfllJqbm5GVlYXCwkKMGjVK7XLoZwsWLFD+HRcXh+TkZISHh+PTTz+Fu7u7ipU5J4vFgqSkJLz22msAgISEBNTU1ODdd9/F0qVLVa6OPvjgAyxYsADBwcFql3LP8I7RfeDn5wcXF5dhq3C0trbCZDKpVJXzun7Mb5eHyWRCW1ub1fjAwADa29uZ2e+wevVqfPXVVyguLkZISIiy3WQyob+/Hx0dHVbzb87kVpldH6M7p9PpMH78eCQmJiI7Oxvx8fF48803mYcKKioq0NbWhqlTp8LV1RWurq4oKSnBW2+9BVdXVwQGBjITO2A0GjFhwgScOnWK54kKgoKCEBMTY7Vt0qRJytcbeX1XT2NjI7755husWLFC2eYI5wgbo/tAp9MhMTERRUVFyjaLxYKioiKkpKSoWJlzioyMhMlkssqjq6sLZWVlSh4pKSno6OhARUWFMufAgQOwWCxITk62ec0jnYhg9erVyMvLw4EDBxAZGWk1npiYCDc3N6tM6urq0NTUZJVJdXW11QWtsLAQBoNh2IWS7o7FYkFfXx/zUEFqaiqqq6tRVVWlfJKSkpCRkaH8m5mor7u7G6dPn0ZQUBDPExXMnDlz2KseTp48ifDwcAC8vqtp+/btCAgIQHp6urLNIc4RtVd/cFS5ubmi1+tlx44dcuLECXnuuefEaDRarcJB947ZbJbKykqprKwUAPLGG29IZWWlNDY2isjQcp5Go1G++OILOX78uDz22GO3XM4zISFBysrK5NChQxIVFcXlPO/SqlWrxNvbWw4ePGi1rOeVK1eUOStXrpSwsDA5cOCAlJeXS0pKiqSkpCjj15f0nDt3rlRVVcm+ffvE39/fbpb0HGk2bNggJSUl0tDQIMePH5cNGzaIRqOR/fv3iwjzsAc3rkonwkzUsHbtWjl48KA0NDTI999/L2lpaeLn5ydtbW0iwkxs7ciRI+Lq6iqvvvqq1NfXy8cffyweHh6yc+dOZQ6v77Y3ODgoYWFhsn79+mFjI/0cYWN0H7399tsSFhYmOp1Opk+fLocPH1a7JIdVXFwsAIZ9li5dKiJDS3pu2rRJAgMDRa/XS2pqqtTV1Vn9jkuXLsmSJUvE09NTDAaDPP3002I2m1XYm5HvVlkAkO3btytzent75fnnnxcfHx/x8PCQJ554Qs6fP2/1e3766SdZsGCBuLu7i5+fn6xdu1auXbtm471xDMuXL5fw8HDR6XTi7+8vqampSlMkwjzswc2NETOxvcWLF0tQUJDodDp54IEHZPHixVbvzGEmtvfll19KbGys6PV6iY6Olm3btlmN8/puewUFBQJg2HEWGfnniEZERJVbVURERERERHaCzxgREREREZHTY2NEREREREROj40RERERERE5PTZGRERERETk9NgYERERERGR02NjRERERERETo+NEREREREROT02RkRERERE5PTYGBERERERkdNjY0RERERERE6PjRERERERETk9NkZEREREROT0/h8RpD/3Nd12AgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x1500 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,15))\n",
    "plt.subplot(4,1,1)\n",
    "plt.plot(sig[0:1000])\n",
    "plt.title('Signal')\n",
    "\n",
    "plt.subplot(4,1,2)\n",
    "plt.plot(filtered_signal[0:1000])\n",
    "plt.title('filtered signal')\n",
    "\n",
    "plt.subplot(4,1,3)\n",
    "plt.plot(ecg_corrected[0:1000])\n",
    "plt.title('ecg_corrected signal')\n",
    "\n",
    "plt.subplot(4,1,4)\n",
    "plt.plot(segments[0])\n",
    "plt.title('one Segment')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "34b17ac2",
   "metadata": {},
   "source": [
    "# primary for the whole signal "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66aac8f4",
   "metadata": {},
   "source": [
    "# start project code"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 768,
   "id": "3106ec36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['F:\\\\mohamed\\\\4th_year_new\\\\Semester 2\\\\HCI\\\\Project\\\\ptb diagnostic healthy subs\\\\chosen\\\\p_156\\\\s0299lre',\n",
       " 'F:\\\\mohamed\\\\4th_year_new\\\\Semester 2\\\\HCI\\\\Project\\\\ptb diagnostic healthy subs\\\\p_174\\\\s0300lre',\n",
       " 'F:\\\\mohamed\\\\4th_year_new\\\\Semester 2\\\\HCI\\\\Project\\\\ptb diagnostic healthy subs\\\\sub260\\\\s0496_re',\n",
       " 'F:\\\\mohamed\\\\4th_year_new\\\\Semester 2\\\\HCI\\\\Project\\\\ptb diagnostic healthy subs\\\\p_198\\\\s0402lre']"
      ]
     },
     "execution_count": 768,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files=[s2,s5,s13,s9,]#s8\n",
    "# [s2,s3,s5,s7,s9,s10,s8,s13]#are the best after long analysis\n",
    "files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 769,
   "id": "c68904bf",
   "metadata": {},
   "outputs": [],
   "source": [
    "data={}\n",
    "for idx,sub in enumerate(files):\n",
    "    signal_array, fields=wf.rdsamp(sub)\n",
    "    sig = signal_array[:,1]\n",
    "    sname=f\"sub_{idx+1}\"\n",
    "    data[sname]=sig"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 770,
   "id": "c8087af8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'sub_1': array([ 0.2265,  0.218 ,  0.215 , ..., -0.4795, -0.4835, -0.485 ]),\n",
       " 'sub_2': array([ 0.0235,  0.0245,  0.027 , ..., -0.2265, -0.228 , -0.233 ]),\n",
       " 'sub_3': array([-0.3835, -0.386 , -0.3865, ...,  0.346 ,  0.3475,  0.343 ]),\n",
       " 'sub_4': array([-2.408 , -2.408 , -2.4085, ...,  1.904 ,  1.9085,  1.9155])}"
      ]
     },
     "execution_count": 770,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f32e3fd1",
   "metadata": {},
   "source": [
    "# split data to get newtest unseen data\n",
    "train =[:80000]\n",
    "\n",
    "test =[80000:85000]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 771,
   "id": "67728de4",
   "metadata": {},
   "outputs": [],
   "source": [
    "# save testing\n",
    "new_test={}\n",
    "for key ,sig in data.items():\n",
    "    new_test[key]=sig[80000:90000]\n",
    "    np.savetxt(f'{key}_test_segment.txt',sig[80000:90000])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 772,
   "id": "45e9d54c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocessing_general(sig):\n",
    "    ecg_corrected = ecg_isoline_drift_correction(sig, sampling_rate=1000)\n",
    "\n",
    "    r_peaks, rr_intervals = ecg_segmentation(ecg_corrected, fs=1000, threshold=0.7)\n",
    "    segments = extract_ecg_segments(ecg_corrected, r_peaks, fs=1000, window_size=0.7)\n",
    "    return segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 773,
   "id": "a6723c9e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sub_1 [ 0.2265  0.218   0.215  ... -0.4795 -0.4835 -0.485 ]\n",
      "sub_2 [ 0.0235  0.0245  0.027  ... -0.2265 -0.228  -0.233 ]\n",
      "sub_3 [-0.3835 -0.386  -0.3865 ...  0.346   0.3475  0.343 ]\n",
      "sub_4 [-2.408  -2.408  -2.4085 ...  1.904   1.9085  1.9155]\n"
     ]
    }
   ],
   "source": [
    "segments_dict={}\n",
    "for key ,sig in data.items():\n",
    "    print(key,sig)\n",
    "    segments = preprocessing_general(sig)\n",
    "    segments_dict[key] = segments[2:52]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 774,
   "id": "2f28da70",
   "metadata": {},
   "outputs": [],
   "source": [
    "# fs = 1000\n",
    "# cutoff_low = 1\n",
    "# cutoff_high = 40\n",
    "# nyquist = fs / 2\n",
    "# level = int(np.floor(np.log2(nyquist/cutoff_low)))\n",
    "# level"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 775,
   "id": "1748104b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_using_ACDCT(filtered_signal):\n",
    "    sig=np.array(filtered_signal)\n",
    "    AC=sm.tsa.acf(sig,nlags=1000)\n",
    "    s=AC[0:100]\n",
    "    DCT=scipy.fftpack.dct(s,type=2)\n",
    "    \n",
    "    return DCT"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3a300f14",
   "metadata": {},
   "source": [
    "- We have extracted fiducial features related to QRS complex using Tompkin’s algorithm. The reason to select features related to only QRS complex is that QRS complex is considered to be fairly constant and doesn’t change with the change of heart rate as it reflects the depolarization of ventricular muscle\n",
    "\n",
    "https://web.archive.org/web/20160911023941/http://ijarcsse.com/docs/papers/Volume_5/7_July2015/V5I6-0385.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 776,
   "id": "72e0ba86",
   "metadata": {},
   "outputs": [],
   "source": [
    "from fiducial_features import pan_tompkins\n",
    "def preprocess_using_fiducial(filtered_signal):\n",
    "    \n",
    "    features=pan_tompkins(filtered_signal)\n",
    "    return features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 777,
   "id": "220a2dfd",
   "metadata": {},
   "outputs": [],
   "source": [
    "# according to the paper\n",
    "    # db8,level 5\n",
    "    # Daubechies sym7\n",
    "# https://accentsjournals.org/PaperDirectory/Journal/IJACR/2020/3/3.pdf"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 778,
   "id": "0b0df08c",
   "metadata": {},
   "outputs": [],
   "source": [
    "def preprocess_using_wavelet(filtered_signal):  \n",
    "    import pywt\n",
    "    from pywt import wavedec ,waverec\n",
    "\n",
    "    wavelet = 'db8'\n",
    "    level = 5\n",
    "    \n",
    "    # db8,level 5\n",
    "    # Daubechies sym7\n",
    "    coeffs = pywt.wavedec(filtered_signal, wavelet, level=level)\n",
    "    \n",
    "    for i in range(1, level):\n",
    "        coeffs[i] = np.zeros_like(coeffs[i])\n",
    "\n",
    "    res = pywt.waverec(coeffs, wavelet)\n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 779,
   "id": "0cf0c2c5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_features_general(signal,type_):\n",
    "    \n",
    "    \"\"\"\n",
    "    # type_=1:use wavelet\n",
    "    # type_=2:use fiducial_features\n",
    "    # type_=3:use AC/DCT\n",
    "    \n",
    "    \"\"\"\n",
    "#     butterworth filter 2-40  or 2 -50 \n",
    "#     sr=1000\n",
    "    filtered_signal=butter_bandbass_filter(signal,low_cutoff=2,high_cutoff=40,sampling_rate=1000,order=4)\n",
    "    \n",
    "#     Features extraction using AC/DCT \n",
    "    \n",
    "    if type_==1:\n",
    "        features=preprocess_using_wavelet(filtered_signal)\n",
    "    elif type_==2:\n",
    "        features=preprocess_using_fiducial(filtered_signal)\n",
    "    elif type_==3:\n",
    "        features=preprocess_using_ACDCT(filtered_signal)\n",
    "    \n",
    "    return features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 780,
   "id": "4842186b",
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_sub(idx):\n",
    "    return f'subject_{idx+1}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 837,
   "id": "5bb04b09",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[-3.19047981e-01,  7.73661597e-01,  6.00000000e+02, ...,\n",
       "         5.60000000e+01, -3.46709150e-01,  2.50000000e+01],\n",
       "       [-3.39761015e-01,  7.49695631e-01,  6.00000000e+02, ...,\n",
       "         7.50000000e+01, -3.46374310e-01,  5.00000000e+00],\n",
       "       [-3.26785652e-01,  7.86548048e-01,  6.00000000e+02, ...,\n",
       "         7.40000000e+01, -3.38003651e-01,  6.00000000e+00],\n",
       "       ...,\n",
       "       [-9.57151035e-02,  5.25692532e-02,  6.00000000e+02, ...,\n",
       "         7.40000000e+01, -1.01906692e-01,  1.10000000e+01],\n",
       "       [-8.24529068e-02,  5.70744820e-02,  6.00000000e+02, ...,\n",
       "         7.10000000e+01, -9.66877682e-02,  1.30000000e+01],\n",
       "       [-8.17499673e-02,  6.03649349e-02,  6.00000000e+02, ...,\n",
       "         6.10000000e+01, -9.83816463e-02,  1.50000000e+01]])"
      ]
     },
     "execution_count": 837,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels=[]\n",
    "final_data=[]\n",
    "type_=2\n",
    "for key ,sig in segments_dict.items():\n",
    "    for s in sig:\n",
    "        s=get_features_general(s,type_)\n",
    "        labels.append(key)\n",
    "        final_data.append(s)\n",
    "\n",
    "final_data=np.vstack(final_data)\n",
    "\n",
    "labels=np.array(labels)\n",
    "\n",
    "final_data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0039069a",
   "metadata": {},
   "source": [
    "# split data into train and test"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 838,
   "id": "ce2769cf",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "X_train, X_test, y_train, y_test = train_test_split(final_data,labels, test_size=0.20,stratify=labels,shuffle=True,random_state=42)\n",
    "\n",
    "lb=LabelEncoder()\n",
    "\n",
    "y_train=lb.fit_transform(y_train)\n",
    "y_test=lb.transform(y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 839,
   "id": "6efd0549",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x2695e9866e0>]"
      ]
     },
     "execution_count": 839,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(X_train[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 840,
   "id": "19f6bae7",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(160,)"
      ]
     },
     "execution_count": 840,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 841,
   "id": "be6165c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 3, 3, 1, 3, 0, 2, 2, 2, 0], dtype=int64)"
      ]
     },
     "execution_count": 841,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d1e3759",
   "metadata": {},
   "source": [
    "# SVM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 842,
   "id": "65b621cc",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn import svm\n",
    "from sklearn.metrics import accuracy_score ,classification_report,ConfusionMatrixDisplay,confusion_matrix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 843,
   "id": "d3e2f2f6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy = 97.5 % \n"
     ]
    }
   ],
   "source": [
    "svm_classifier = svm.SVC(kernel='linear') # Linear Kernel\n",
    "\n",
    "svm_classifier.fit(X=X_train,y=y_train)\n",
    "\n",
    "pred=svm_classifier.predict(X_test)\n",
    "\n",
    "print(\"Accuracy = {} % \".format(accuracy_score(y_test,pred)*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 844,
   "id": "ab98ce79",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "       sub_1       1.00      1.00      1.00        10\n",
      "       sub_2       0.91      1.00      0.95        10\n",
      "       sub_3       1.00      0.90      0.95        10\n",
      "       sub_4       1.00      1.00      1.00        10\n",
      "\n",
      "    accuracy                           0.97        40\n",
      "   macro avg       0.98      0.97      0.97        40\n",
      "weighted avg       0.98      0.97      0.97        40\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(classification_report(y_test,pred,target_names=pd.unique(labels)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 845,
   "id": "b913b2f9",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2695e9aeb00>"
      ]
     },
     "execution_count": 845,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm=confusion_matrix(y_test,pred)\n",
    "disp=ConfusionMatrixDisplay(cm)\n",
    "disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8a8104be",
   "metadata": {},
   "source": [
    "# LogisticRegression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 856,
   "id": "8239465b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy = 97.5 % \n"
     ]
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression\n",
    "\n",
    "LR_classifier=LogisticRegression(max_iter=1000)\n",
    "\n",
    "LR_classifier.fit(X=X_train,y=y_train)\n",
    "\n",
    "pred=LR_classifier.predict(X_test)\n",
    "\n",
    "print(\"Accuracy = {} % \".format(accuracy_score(y_test,pred)*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 847,
   "id": "cafca26f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2695ea788b0>"
      ]
     },
     "execution_count": 847,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm=confusion_matrix(y_test,pred)\n",
    "disp=ConfusionMatrixDisplay(cm)\n",
    "disp.plot()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "685d4af7",
   "metadata": {},
   "source": [
    "# LDA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 848,
   "id": "2d69b1a0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.discriminant_analysis import LinearDiscriminantAnalysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 849,
   "id": "6a8fe7a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Accuracy = 100.0 % \n"
     ]
    }
   ],
   "source": [
    "LDA_classifier=LinearDiscriminantAnalysis()\n",
    "\n",
    "LDA_classifier.fit(X=X_train,y=y_train)\n",
    "\n",
    "pred=LDA_classifier.predict(X_test)\n",
    "\n",
    "print(\"Accuracy = {} % \".format(accuracy_score(y_test,pred)*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 850,
   "id": "5955522a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<sklearn.metrics._plot.confusion_matrix.ConfusionMatrixDisplay at 0x2695eb82d40>"
      ]
     },
     "execution_count": 850,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cm=confusion_matrix(y_test,pred)\n",
    "disp=ConfusionMatrixDisplay(cm)\n",
    "disp.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e96d717d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c805b3f9",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4f3f5f00",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "6ad9b1bf",
   "metadata": {},
   "source": [
    "# saving models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "236c10ba",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 753,
   "id": "0bef059d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# type_=1:use wavelet\n",
    "# type_=2:use fiducial_features\n",
    "# type_=3:use AC/DCT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 754,
   "id": "449f1f25",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 755,
   "id": "b04a8673",
   "metadata": {},
   "outputs": [],
   "source": [
    "if type_==1:\n",
    "     pickle.dump(LDA_classifier,open('LDA_classifier_wavelet.pkl','wb'))\n",
    "# fiducial \n",
    "elif type_==2:\n",
    "    pickle.dump(LDA_classifier,open('LDA_classifier_fiducial.pkl','wb'))\n",
    "else:\n",
    "    pickle.dump(LDA_classifier,open('LDA_classifier_ACDCT.pkl','wb'))    "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "21c34697",
   "metadata": {},
   "source": [
    "# Loading and Testing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 618,
   "id": "ef8ed0ca",
   "metadata": {},
   "outputs": [],
   "source": [
    "path='sub_4_test_segment.txt' \n",
    "to_test = np.loadtxt(path)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 619,
   "id": "fff5ab13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000,)"
      ]
     },
     "execution_count": 619,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 620,
   "id": "94773a40",
   "metadata": {},
   "outputs": [],
   "source": [
    "if type_==1:\n",
    "    loaded_model=pickle.load(open('LDA_classifier_wavelet.pkl','rb'))\n",
    "# fiducial \n",
    "elif type_==2:\n",
    "    loaded_model=pickle.load(open('LDA_classifier_fiducial.pkl','rb'))\n",
    "else:\n",
    "    loaded_model=pickle.load(open('LDA_classifier_ACDCT.pkl','rb'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 621,
   "id": "5d755a08",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "700"
      ]
     },
     "execution_count": 621,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "loaded_model.n_features_in_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 622,
   "id": "e7185060",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(10000,)"
      ]
     },
     "execution_count": 622,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 623,
   "id": "10ed6ac4",
   "metadata": {},
   "outputs": [],
   "source": [
    "to_test=preprocessing_general(to_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 624,
   "id": "14f240d4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(8, 700)"
      ]
     },
     "execution_count": 624,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "to_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 625,
   "id": "04bace32",
   "metadata": {},
   "outputs": [],
   "source": [
    "to_test=to_test[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 626,
   "id": "2e5e1caf",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "test=get_features(to_test,type_)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 627,
   "id": "e66aab7a",
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(700,)"
      ]
     },
     "execution_count": 627,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test=np.array(test)\n",
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 628,
   "id": "04a6abc5",
   "metadata": {},
   "outputs": [],
   "source": [
    "def prep_type(type_):\n",
    "    if type_==1:\n",
    "        return 'wavelet'\n",
    "    elif type_==2:\n",
    "        return 'fiducial_features'\n",
    "    else:\n",
    "        return 'AC/DCT'\n",
    "# type_=1:use wavelet\n",
    "# type_=2:use fiducial_features\n",
    "# type_=3:use AC/DCT\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 629,
   "id": "3a0f8861",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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j6oHemvouIiJS3RTURUREpEpJ5V3fTzGiHnDCiLphGDVSl4iISF2noC4iIiKVGIZhH1EPP4M16labQU5RaY3UJiIiUtcpqIuIiEgl2YWlFJXagFOPqHu4ueDhVvZ2QtPfRUREqoeCuoiIiFSSnF027d3XwxUPN5dTnqu91EVERKqXgrqIiIhUkpxzfNq738mnvZcrn/6eqRF1ERGRaqGgLiIiIpUkHR9RD/M9+bT3ctpLXUREpHopqIuIiEglRzMLAGjg73nacwO9yqa+Z2kvdRERkWqhoC4iIiKVJBwP6pGBpw/qmvouIiJSvRTURUREpJIjGWVBPSrgTIK6msmJiIhUJwV1ERERqaR8RD3qTEbUPctG1LU9m4iISPVQUBcREZEKDMMgIePsp75rRF1ERKR6KKiLiIhIBam5xRSV2jCZzqyZXPnU90w1kxMREakWCuoiIiJSQfm093BfD9xdT/9WQVPfRUREqpeCuoiIiFRwNtPeAQK91UxORESkOimoi4iISAUJmfnAmTWSgxNG1AtKsNmMC1aXiIhIfaGgLiIiIhXYR9TPYGs2AP/jzeRsBuQUlV6wukREROoLBXURERGpIDW3bAp7mK/ljM63uLrg5e4CQKamv4uIiJw3BXURERGpID2vLGyXrz0/E+XT3zPVUE5EROS8KaiLiIhIBeVBPdj7zEbU4a8t2tRQTkRE5PwpqIuIiEgFaceDetDZjKh7/dVQTkRERM6PgrqIiIjY2WyGfVT8bIJ64PERdU19FxEROX8K6iIiImKXU1iK9fgWa4Hebmd8v/LO75r6LiIicv4U1EVERMQuLa8IAF+LKxZXlzO+n5rJiYiIVB8FdREREbE7l47v8NfUd61RFxEROX8K6iIiImJ3Lo3kQFPfRUREqpOCuoiIiNhl2LdmO7ugrqnvIiIi1UdBXUREROzSznHqu4/FFYD84tJqr0lERKS+UVAXERERu/RzHFH3dC9rPJdXZK32mkREROobBXURERGxSz/HNerex0fUC0oU1EVERM6XgrqIiIjYnWvXd0+3shF1TX0XERE5fwrqIiIiYneuU9+9jk99LyyxYbUZ1V6XiIhIfaKgLiIiInaZBWVBPcDrbIO6q/3/Nf1dRETk/Cioi4iIiF359moBx/dFP1MebmZMprL/1/R3ERGR86OgLiIiIgCUWm3kFJaF7PJ90c+UyWTC6/g69YJijaiLiIicDwV1ERERASC78K+RcP+zDOoAnu7le6krqIuIiJwPBXUREREBIDO/bH26r8UVV5ezf4tQ3lBOU99FRETOj4K6iIiIAJBVULY+3f8s16eX+yuoa0RdRETkfCioi4iICACZBefWSK6cgrqIiEj1UFAXERERALKOd3w/l/Xp8NcWbWomJyIicn4U1EVERAT4a416gOfZ7aFezvP4iHqe1qiLiIicFwV1ERERAf6a+n6ua9S93bU9m4iISHVwiqA+ffp0YmJi8PDwoGfPnqxZs+aM7jd37lxMJhPDhg27sAWKiIjUA5nHp76f7R7q5bQ9m4iISPVweFCfN28eEydOZPLkyWzYsIGOHTsyZMgQkpOTT3m/+Ph4HnnkEfr161dDlYqIiNRtWdXUTE5T30VERM6Pw4P6q6++ytixYxkzZgxt2rRh5syZeHl58f7775/0PlarlVtuuYWnn36apk2b1mC1IiIiddf5rlHX1HcREZHq4dCgXlxczPr16xk8eLD9mNlsZvDgwaxcufKk9/u///s/wsLCuPPOO2uiTBERkXrhfNeoa+q7iIhI9XB15JOnpqZitVoJDw+vcDw8PJxdu3ZVeZ/ly5fz3nvvsWnTpjN+nqKiIoqKiuxfZ2dnn1O9IiIidVnWea5R99KIuoiISLVw+NT3s5GTk8Ntt93GO++8Q0hIyBnfb+rUqfj7+9v/REdHX8AqRUREaqe/1qhrezYRERFHcuiIekhICC4uLiQlJVU4npSURERERKXz9+3bR3x8PFdddZX9mM1mA8DV1ZXdu3cTGxtb6X6TJk1i4sSJ9q+zs7MV1kVERE5gGIZ96vu5NpPz1tR3ERGRauHQoO7u7k7Xrl1ZuHChfYs1m83GwoULmTBhQqXzW7VqxdatWysc+89//kNOTg6vvfbaScO3xWLBYrFUe/0iIiJ1RWpuMVabgckEgec4oq6p7yIiItXDoUEdYOLEiYwaNYpu3brRo0cPpk2bRl5eHmPGjAHg9ttvJzIykqlTp+Lh4UG7du0q3D8gIACg0nERERE5cwmZBQBE+Hng7npuK+PKp77na+q7iIjIeXF4UB85ciQpKSk89dRTJCYm0qlTJ3755Rd7g7lDhw5hNteqpfQiIiK1zpGMfACiAj3P+TG87EFdI+oiIiLnw+FBHWDChAlVTnUHWLJkySnvO3v27OovSEREpJ45klE2oh4V6HXOj+GlNeoiIiLVQkPVIiIiUq0j6lqjLiIicn4U1EVEROSEEfXzD+rFVhslVlu11CUiIlIfKaiLiIiIPahHBpz71PfyZnKg6e8iIiLnQ0FdRESknjMMo1qmvru7mHE1mwBNfxcRETkfCuoiIiL1XFpeMYUlNkwmaBDgcc6PYzKZtEWbiIhINVBQFxERqefKp72H+3pgcXU5zdmnpi3aREREzp+CuoiISD2XUA2N5MppizYREZHzp6AuIiJSz1XH+vRyXpr6LiIict4U1EVEROq5v7ZmO/eO7+W0l7qIiMj5U1AXERGp56pzRN3z+NT3PAV1ERGRc6agLiIiUs9V64i6W/mIuqa+i4iInCsFdRERkXqsbA/1sqAeWR1r1C3q+i4iInK+FNRFRETqsfS8YgpKykJ1w/PYQ72ctmcTERE5fwrqIiIi9Zh9D3U/y3nvoQ4nbs+mqe8iIiLnSkFdRESkHkvIrL716QCebhpRFxEROV8K6iIiIvVYdXZ8B/C2aHs2ERGR86WgLiIiUo/91fG9eoL6X9uzaeq7iIjIuVJQFxERqceqc2s2+Gt7Nk19FxEROXcK6iIiIvVYdU99L+/6rqnvIiIi505BXUREpJ6qsId6QDUFdUt513cFdRERkXOloC4iIlJPZeSX2AN1w+oK6vZ91LVGXURE5FwpqIuIiNRT5dPew3wteLid/x7qoO3ZREREqoOCuoiISD2VUM0d30Fr1EVERKqDgrqIiEg9Vd0d3wG8y9eol1gxDKPaHldERKQ+UVAXERGpp6q74zuA5/ERdavNoKjUVm2PKyIiUp8oqIuIiNRTWxOyAGgS4l1tj+l1wlp3TX8XERE5NwrqIiIi9VBuUSlbjpQF9V5Ng6vtcV1dzLi7lr29yC9RUBcRETkXCuoiIiL10Nr4dEptBtFBnkQHVd8adThhi7YibdEmIiJyLhTURURE6qFV+9IA6F2No+nlvLRFm4iIyHlRUBcREamHVu0vC+p9YkOq/bG9yju/K6iLiIicEwV1ERGResYwDPal5AHQLtKv2h/fu3zqe7GmvouIiJwLBXUREZF6JqughNzj68ercw/1cl7uZSPqeRpRFxEROScK6iIiIvXM4fQCAEJ9LXicsJ1adfG2qJmciIjI+VBQFxERqWcOZ+QDEBXoeUEeXyPqIiIi50dBXUREpJ45cjyoR1+Aae+gEXUREZHzpaAuIiJSz5RPfdeIuoiIiHNSUBcREalnyqe+RwddoBF1dX0XERE5LwrqIiIi9cyRjLIR9Qs19b18H/VcTX0XERE5JwrqIiIi9YhhGPY16hdq6rt9RL1IU99FRETOhYK6iIhIPZKSW0RhiQ2zCRoGXOg16hpRFxERORcK6iIiIvVIfGrZaHrDAE/cXS/M2wB713c1kxMRETknCuoiIiL1SHxaHgBNQrwv2HPYR9S1Rl1EROScKKiLiIjUI/GpZUG9cfCFaSQHGlEXERE5XwrqIiIi9cjBtLKp7zHBF35EXduziYiInBsFdRERkXrkwPER9QsZ1L3tU981oi4iInIuFNRFRETqCcMwOHh8jXrMhVyjfnzqe0GJFavNuGDPIyIiUlcpqIuIiNQTKblF5BVbMZsgOujCbM0Gf42oQ1lYFxERkbPjFEF9+vTpxMTE4OHhQc+ePVmzZs1Jz33nnXfo168fgYGBBAYGMnjw4FOeLyIiImXK16c3DPDE4upywZ7Hw82MyVT2//nq/C4iInLWHB7U582bx8SJE5k8eTIbNmygY8eODBkyhOTk5CrPX7JkCTfddBOLFy9m5cqVREdHc9lll5GQkFDDlYuIiNQue5NyAWga6nNBn8dkMv21Tl2d30VERM6aw4P6q6++ytixYxkzZgxt2rRh5syZeHl58f7771d5/pw5cxg3bhydOnWiVatWvPvuu9hsNhYuXFjDlYuIiNQue5JyAGgRdmGDOoCXe9mIvfZSFxEROXsODerFxcWsX7+ewYMH24+ZzWYGDx7MypUrz+gx8vPzKSkpISgo6EKVKSIiUifsTT4e1MN9L/hzeVvKt2jTiLqIiMjZcj39KRdOamoqVquV8PDwCsfDw8PZtWvXGT3GY489RsOGDSuE/b8rKiqiqKjI/nV2dva5FSwiIlKL7Tk+9b15eA2OqGsvdRERkbPm8Knv5+P5559n7ty5zJ8/Hw8Pj5OeN3XqVPz9/e1/oqOja7BKERERx8vMLyYlp+xD6+Y1MaJ+fI16vvZSFxEROWsODeohISG4uLiQlJRU4XhSUhIRERGnvO/LL7/M888/z2+//UaHDh1Oee6kSZPIysqy/zl8+PB51y4iIlKblI+mRwZ44mO58BPqyvdS14i6iFxI+cWlGIbh6DJEqp1Dp767u7vTtWtXFi5cyLBhwwDsjeEmTJhw0vu9+OKLPPvss/z6669069bttM9jsViwWCzVVbaIiEitU95IriamvcOJI+oK6iJy/van5PLRyoMcSM3jsrbhtGvoz1PfbWfz4UzcXc14ubswfkAzxl7c1NGlilQLhwZ1gIkTJzJq1Ci6detGjx49mDZtGnl5eYwZMwaA22+/ncjISKZOnQrACy+8wFNPPcWnn35KTEwMiYmJAPj4+ODjUzNvPkRERGqb/Sl5ADS7wFuzlftrjbqmvovI+Vm4M4kH5m4i9/gHf0v3pFS4vbjURnGpjWd/2om7q5lRfWIcUKVI9XJ4UB85ciQpKSk89dRTJCYm0qlTJ3755Rd7g7lDhw5hNv81Q3/GjBkUFxdz/fXXV3icyZMnM2XKlJosXUREpNY4kFo29b1JqHeNPN9fXd81oi4i52ZbQhYfrzzIvHVly1a7xwRyUbNQPlwZT3GpjV5Ng/nP0Na4mE18se4wry+K4/9+2EGrCF96Ng12cPUi58fhQR1gwoQJJ53qvmTJkgpfx8fHX/iCRERE6pj4tHwAmgTXTFD/ax91jaiLyNkptdqY9vte3lwcZz82uk8MT/yjNe6uZv45qBkmk6nCfR66tAWH0vP5ZtNRJny2kS/u6U1MSM38fSdyIThFUBcREZELp8Rq43B6WVCvqTeuGlEXkTNVarXx2sK9AJRYDb5Yd5i0vGIArmgXwe29Y+gd+9cI+d9Devmx565tz67EHHYl5nDTO6uYd3dvGgV71cyLEKlmCuoiIiJ13JGMAkptBh5uZiL8Tr6daXXy1hp1ETlDT3+/g49XHaxwLNjbnf9c2ZrhnaPO+HG83F35+M6e3DhrJftS8rjpnVV8dGcPYmuoN4dIdVJQFxERqePiU8saycUEe2M2Vx6JuhC8LOr6LiKn9/PWY3y86iAmE/SNDcHFbOLmno0Y1CoMV5ez30k61NfCZ2N7ceOsVexPzePK15fzyJCW3N67MW7n8HgijqKgLiIiUscdOCGo15Ty7dk0oi4iVSkothKflsfzv+wCYNyAWB4d0qpaHjvMz4O59/Ri4rzNLI9L5b8/7ODXbYl8cldP3F0V1qV20E+qiIhIHRefdjyo12BjJS9L2dR3rVEXkb+z2QzGzF7DFa8t42BaPkHe7tw3oFm1PkeYrwcf3dGD54a3x9fiypr4dJ77aWe1PofIhaSgLiIiUseVj6g3rcGgXj6inq+u7yLyN19tOMKq/en2rx++rAU+luqf6Gs+Po3+fyM7ATB7RTwbDmVU+/OIXAgK6iIiInWcfep7TY6o25vJaURdRMAwDLYlZHEoLZ+pP5dNd//X5S1Z++/B3NKz8QV97sFtwrmha1lTupd+2Y1hGBf0+USqg9aoi4iI1GFFpVaOZhYAEBNSc9sU2bdn04i6SL2UnF3I+E83kFVQwpC2EWw6nMmyvan221tF+HLXRU1rbM34g5e24NtNR1m5P41ftydxebuIGnlekXOloC4iIlKHHU7Px2aUbZcW6mOpsef1PmFE3TCMKvc9FpG66UBqHre9t5ojGWUfEu5Jiqtwu7urmddv6lyjjd0iAzy5q18T3lqyj8e/3kKHKH8aBnjW2POLnC0FdRERkTpsf0rZtPcmod41GpbLt2ezGVBUasPDzaXGnltEHGfLkUzGfLCWtLxiGgd7MaZPDLsSc3B1MTGyWyPWH0ynZYQfLcJ9a7y2Bwe34M+4VDYfyeLBuZv4dGzPc9oCTqQmKKiLiNQhCZkFHEjJw9viQlpuMa4uJjpHB+Lv5ebo0sRB7B3fa3BrNgDPE4J5XlGpgrpIPbDmQDpjPlhDXrGVdpF+fDC6B6G+FWfytI/yd1B1f43kD319OWvi03l9URwTL23hsHpETkVBXUSkjtidmMMNM1eQXVixeZevhysjukUzoGUo/ZqHOqg6cZQDqfkANKnBRnIALmYTnm4uFJRYyS+2Elyjzy4iNa2wxMrEzzeRV2ylb7NgZt7aFV8P5/uQuHGwN88Ob8cDczfx5qK99G4aTO9Y/Q0lzkdzPURE6oCcwhJGf7CG7MJSgrzdaejvQYcof6KDPMkpLOW95Qe47b01bEvIcnSpUsPiUx0zog7gbVHnd5H64t1l+zmSUUADfw/eub2bU4b0ctd0imREtyhsBtz98To+X3eYEqvN0WWJVKARdRGROuDL9Uc4llVIoyAvvpvQlwAvdwCsNoNftiUy6499bD6Sxby1h2kX6bhph1LzyrdmaxJa80Hdy90VKCZPnd9F6rSMvGJmLNkHwONXtDr+u+/cplzdlrjkXDYcyuRfX25h2oI9TLuxMz2aBDm6NBFAI+oiIrWezWbw8cqDAIy9uKk9pEPZ9OOhHRrw6JBWAHy7KYHCEoWm+qKg2EpidiEATRwwol6+l3q+RtRF6rRZy/aTV2ylbUM/ru7Y0NHlnBEvd1c+v6c3k65oRYiPO0ezCrn1vdUs25vi6NJEAAV1EZFab3lcKvtT8/C1uHJt58gqz+kTG0xkgCfZhaV8v/loDVcojlLeSM7f041Ab/fTnF39yvdS14i6SN21/mA6H/x5AICJl7aoVVsxurqYuad/LMv+dQmDW4dTXGrjP99so7hU0+DF8RTURURquY9WxgNwXdcoezD6O7PZxK29GgMwY8k+rDajpsoTByqf9h5Tw43kymlEXaRu2paQxb/nb+WuD9dxy7urKSyxcXGLUC5pFebo0s6Jp7sLr93YiRAfCwfT8vlk1UFHlySioC4iUpsdTs9n4a5kAG7r3fiU597WuzEBXm7sT81j1h/7MQyF9bquPKg3dVBQ9z6+TjWvWCPqInVFqdXGhE83MGf1IX7fmURhiY2LmoXw9q1da9Vo+t95W1x5YHBzAJ79aSfz1h5ycEVS3ymoi4jUUqv3p3HLu6sxDOjXPITYUJ9Tnu9jceXui5sC8MIvu5j09daaKFMcyJEd3wG8jnd9zy/SiLpIXfH1hgTi0/IJ8nbnqSvbMH9cHz66oweex2fQ1GY392jEdV2isNoMHvtqKx9rZF0cSEFdRKQWKrXaeGDuJg6l5xPi485jl7c6o/vdc3Esj1/RCpMJ5q49zMZDGRe4UnGk8jXqMSFeDnl+jaiL1C1L96Tw3M87Abi3f1PuuKgJnRsFYjbX3pH0E7mYTbx8Qwf7h9pPfrONRbuSHFyV1FcK6iIitdDvO5NJzC4k2NudJY8OPOMt11zMJu7tH8u1naMAmPrzLk2Br8PsW7M5ao26RtRF6oSiUiuPfbmFUe+vITO/hA5R/tzWK8bRZV0QJpOJSVe04paejQB45IstJB3fPUOkJimoi4jUQnNWl03HG9E9Gp+TNJA7lYmXtcDiambNgXRN7aujcgpLSM0tBhzXTE4j6iJ1w4wl+5i37jAAt/duzOf39K4TU91PxmQy8dRVbWjb0I/0vGKmL45zdElSDymoi4jUMolZhSzbmwqUrac7F5EBnjx+Rdl0+Wd+3Mm7y/ZjUyf4OmVPUi4AYb4W/DzcHFJD+S4EOYUlDnl+ETk/mfnF/LDlKLP+2A/AqyM68n/XtMPDre6G9HIWVxf+/Y/WAHy+7jDpecUOrkjqm7MfhhERkRpnGAalNgM3FzO/bDsGQNfGgUQHnfva49F9Yli1P41ftyfxzI87MZtM3HFRk+oqWRxsd2IOAK0a+DmsBj+P8qCuqe8itYlhGCzcmczjX2+xz8zpFB3A8M6RDq6sZvWODaZdpB/bErK588O1lFhthPpYmHlbVyyudf/DCnEsjaiLiDi5OasP0vWZ32nz1C9M/Wknn687AsAV7SLO63FNJhMzbunKQ4NbAPDWkn0UlmiKcl2xKzEbgNYRvg6rwc+zbCQ/q0Aj6iK1xdHMAm6YuZK7PlpHam4x0UGeXNIqjOeva1+rt187FyaTiUcua4mL2cTGQ5lsS8hm8e4UZi7Z7+jSpB7QiLqIiBM7nJ7P5G+3U3p8Wvrbf/z15uCK9g3O+/HNZhPjBsby+brDJGQW8NmaQ4zpq1H1umDXsbIR9ZYODOr+x4N6tqa+izi9EquNbzcd5cVfdpGcU4TF1cyoPjFMvLRFvZjqfjIDWoax+OEB/LztGH/uS+OPPSlMXxxH/5ahdIoOcHR5UodpRF1ExIm9tWQfpTaDPrHBTL+5C42OT3Uf3DqcyADPankONxcz4wbGAjBzqUbV6wLDMNh5fES9VYQjp74fD+oFmvou4syW7U1hwEtLeOSLzSTnFNEi3IffJ/bniX+0rtchvVyjYC/u6R/Lh2O6c2mbcIqtNsZ8sMY+c0nkQlBQFxFxUvPWHmLe2kMAPHRpC4Z2aMAf/xrIzv+7nHdu71qtz3V91yga+HuQlF3EFa8tY97aQwrstdixrEJyCktxNZuIDXNMx3cAf6/yoF6ibQBFnFRRqZUH524iIbOAEB93Hr+iFfPH9T2vHih1lclk4n8jO9Exyp+M/BJumLHS3jdGpLopqIuIOKHle1N57Kut2Ay4tVcjuscE2W/zdHep9nWCFlcX7htQNqp+IDWPx77ayuBXl3Isq6Ban0dqRvkoT9NQb4c2PCpvJldstVFUanNYHSJycj9vTSQtr5gG/h4s+9cl3Ns/1r5jg1TmY3Hlwzt60KNJEDlFpdz7yQaemL/V0WVJHaSgLiLiZIpKrTz57TYARnaL5r/XtKuR572xeyPG9I3hui5RRPh5cCSjgJd+3V0jzy3Va39KHgDNwxy3Ph3K9lE3H/9MSQ3lRJyPYRh8tDIeKNvusy7vjV6dArzc+fjOHowfGIvZBJ+uPsSq/WmOLkvqGAV1EREnM2/tYQ6k5hHqa+HfV7ausS677q5mJl/VlldGdOTt28qm1s/fmMDOY1qDV9scSC0L6jEhjp26ajab7J3fsxXURZzOgh1JbDiUibuLmZE9oh1dTq1icXXh0SGtuLlnIwCe+2knNpuW+Ej1UVAXEXEy3246CsC9/WPtzbhqWsfoAP7RPgLDgLlrDjmkBjl35UG9SYiPgys5oaGcOr+LOI3CEiufrDrIlO+2A3BXvyaE+Xo4uKra6cHBLfCxuLLlSBbvLT/g6HKkDlFQFxFxIkczC1h/MAOTCa7scP7br52PYZ0iAVi8O0WNwGqZeHtQd1wjuXL+2ktdxKkcSM3jqjeW859vtnE0q5CG/h5MuKSZo8uqtUJ8LPx7aGsAXvp1N3/GpTq4IqkrFNRFRC6grPwSVu9Pw3qG0+Hmb0wAoHtMEOF+jh3d6NssBDcXE4fS8+0jtOL8CoqtHM0qBJwjqPt5ljWl0hZtIs7hP99sZW9yLqG+Fh6+tAVfj+uLl7uax52PG7tHM7h12bZto95fw5LdyY4uSeoABXURkWqSW1TKD1uOsulwJoZhYBgGoz5Yw8hZqxj6+jJe+W03mw9nnvT+7y8/wMu/lTVvu6ZTwxqq+uS8La70bBIMlI2qS+1wML3sQxV/TzcCvRyzdOJEmvou4jziknP4My4Nswm+urcP9w9qToS/pryfL5PJxJs3d2Zo+waU2gym/rRL69XlvCmoi4hUk2d/3MGETzcybPqfPPzFZn7bkcSm48F8V2IObyyK45rpfzLh0w0YhkFiViGvLtjD3qQcNhzK4Jkfd2AYcEvPRozs5hxNfQa0DAXQ6EAtciDlr2nvNdWI8FTsU9/zFdRFHKnEamP64n0ADG4dTqNg7ZNenTzcXHju2vb4WlzZnZTD91uOOrokqeU0z0VEpBoUllj5fvMx+9dfb0jg6w1l09hv7tmIVhG+rI3P4Oetx/hhyzH6twhl5tJ97EvJ450/9uNtccFmwPDOkTw7vL2jXkYlA1uF8cyPO1m9P528olLtrVsLHEhznvXpwF9d3zWiLuIQhmHw5fojzFiyj/3HlzGN7hPj2KLqKH9PN0b1ieHNxXE8MHcTi3YlM/Xa9lpaIOdEI+oiItVg4c5kcotKiQzw5JHLWtiPN/T34F9DWnJ77xjeuKkzd1/cFIBHv9zCvpQ8XMwmCkqspOYWExngyeSr2jjqJVSpaYg3jYK8KLbaWLFPe8TWBnuTcgGIDXWOoK5mciKONeuP/Tz65Rb2p+YR5O3Oi9d3oE+zEEeXVWeNGxjLsE4NMZnKdnEZ8fZKUnOLHF2W1EL6eEdEpBrM33gEKFtbft+AZni4uWBxc+GaTg0rbLF2T/9Y5q09TFpeMY2CvJhxaxcSjzf+6tEkCF8Hbcd2MiaTiYEtQ/lw5UF+257I4NZhTjGdWk5ud2IOAC0j/BxcSRk/DzWTE3GUtfHpvPDLLgDGD4zl3v6xTvfvTF3j5e7KtBs7c2uvxtzz8Xq2JWRz3YwVXNGuAXdf3JQgb3dHlyi1hIK6iMh5ik/NY+GusjXc13aJwsVs4q5+Tas819/Tjfnj+pKQWUCPJkG4mE20behfk+WetQGtwvhw5UG+WH+ETYczeX90d6KDtLbRGZVabcSllI2otwz3dXA1ZTT1XcQxikttTPp6q31Z1SOXtdQHrTWoW0wQX9zbm1veXc3BtHxmLt3HpsMZfDa2l66DnBFNfRcROQ8ZecW8vnAvhgGXtAqjWZjPae/TKNiL3rHBuJhrxz/UFzULYXjnSDzdXNibnMsNM1eyLSHL0WVJFeLT8iguteHl7kJUoKejywH+Cuqa+i5Ss95cHEdcci7B3u5MuaqtwqEDNA314fv7L+Lpq9ticTWzan86321Wkzk5MwrqIiJnyTAMUnOLWLQriT7PL+Lr43ufjz3JKHpt5+Zi5n8jO7Hk0QE0C/MhMbuQa2es4Ad1tHU6u45Pe28R7ovZST4ICjge1DPyih1ciUj9YLMZzFy6j9cX7gXgP1e2xt8Jtmqsr0J8LIzqE8O4Ac0AePyrrSzbqy1P5fQU1EVEzoJhGEz6eivdnvmdO2avo6DESnSQJ/dc3JReTYMcXd4FFe7nwVf39mFQqzCKS23c/9lGjQw4mT3l69OdZNo7lL1JBUjNLcYwtK+wyIV0LKuAW99bzfM/l61L/+clzRjeOcrBVQnAvQOa0r9FKAUlVu75eD2H0/MdXZI4OQV1EZGz8OGKeOauPWz/+vK2ESx6eACT/tG6Xkwr9PdyY9bt3bipRzSGAa/+tlvhy4nstDeSc56gHupbFtSLrTZyitRQTuRC+WXbMS6ftowV+9LwcDMz5ao2PHRpi9PfUWqExdWFd27vRveYQPKLrfz7m23691NOSUFd6g2rzcBqM1gRl8r/FuxhxpJ9am4kZyWroISXft0NwKQrWvHHowN565YuuLnUr79KXcwm/j20De4uZuLT8tl3vHmZOJbVZrDmQDoAHaMDHFvMCTzcXPCxlPWuTc3RFkUiF8Jnaw5x7ycbyCoooX2kPz/9sx+j+zapFx8g1yburmaev64D7q5m/tiTwtSfdymsy0mp67vUC79tT2TS11vJyC/GdsLfh7sSs3ntxs6OK0xqlU9XHyKv2ErLcF/uvrhpvX4D5GNxpXdsMEv3pLBgRzLNwpxnBLe+2nwkk6yCEvw8XOkY5Vw7CYT4uJNbVEpqbjFNQx1djUjdkpZbxNSfdgIwuk8MT/yjNe6u9esD5NokNtSHZ4a1419fbmHWH/vJLSplylVtdc2kEv1ESJ1mtRm88ttu7v54PWl5ZSHd4mrmqo4NMZng201HWb0/zdFlSi1QWGLlgz8PADC2nof0coPbhAOwYEeigysRgKW7y5oT9WseiquTzfIItq9T14i6SHWy2gye+m472YWltG7gx5NXtlHgqwVGdItmylVtMJnKBgGum7GCPUk5ji5LnIxT/CZPnz6dmJgYPDw86NmzJ2vWrDnl+V988QWtWrXCw8OD9u3b89NPP9VQpVJbGIbBhkMZjHx7JW8sigPKPmX+8/FLWPefwbxxU2du7tEIgImfbyYlp4jcolISswrtj5GQWUC6uhTLcbP+2E9yThEN/T24umNDR5fjFC5tHY7JBBsOZaopjhP443gX4YtbhDi4kspCfNwBBXWR6mS1GTzyxWZ+3HIMF7OJp69uW2u2/RQY3bcJ743qhr+nG1sTsrjitWVM+32Po8sSJ+LwoD5v3jwmTpzI5MmT2bBhAx07dmTIkCEkJydXef6KFSu46aabuPPOO9m4cSPDhg1j2LBhbNu2rYYrF2ezLj6dG2auoMt/F9D6qV+49q0VrDuYgZe7C6+O6MiUq9sSGeCJr0fZFiX/urwVTUK8ScgsoO/zi+gw5Vf6PL+QhTuTWL43lf4vLmbQK0s4mlng4FcmjpaYVchbS8o+8JmkKYV2Ef4e9I0tC4VfrD/i4Grqt5zCEjYfzgTKRtSdjb3zu9aoi1SLUquNh+ZtYv7GBFzNJt64qTM9mtTtnUfqoktahfPrgxdzaZtwrDaDab/vVd8XsXP4u81XX32VsWPHMmbMGNq0acPMmTPx8vLi/fffr/L81157jcsvv5xHH32U1q1b89///pcuXbrw5ptv1nDl4kx+3nqMm99Zzdr4DNLziiksseHp5sJ1XaL4fWJ/ru1SeWsSf0833h/dncgAT4qtNmwG2Ay488N13P7+akptBhn5JTw4dxPW4wvbi0qtTPh0A/d9sp4DqXn2xyoqtaoZSB32/p8HKCyx0bVxIFd2aODocpzKDd3Kfre+Wn8Em02/A46y7mAGNgMaBXnRMMDT0eVUUh7UU3I1S0nkfJVYbTwwdxPfbT6Kq9nEmzd34R/t9W9TbRXh78E7t3fj4hZlH7L+tOWYgysSZ+HQZnLFxcWsX7+eSZMm2Y+ZzWYGDx7MypUrq7zPypUrmThxYoVjQ4YM4ZtvvrmQpTqMYZSFxUAvN6dZE2uzGZhMXNB6/oxL5Y89KdzZrwlhvh4YhsE3mxJIySliTN8mbDiYQUJmAd1jgkjJLeKBeZsottq4ol0E91/SHB+LK6G+FjzdXU75PE1CvFn66ACOZRViMwxuf38NB9PysRnQMcqfuORc1sSn88aivTw4uAWvL9zLD8f/Al24M5kR3aNoEuLDq7/tJtzfgylXtbX/RVtYYuX5n3fRItyXm3s2umDfK7mwsgtL+HT1IQAmDGzmNL+HzmJI2wj8PFxJyCxgxb40LmrufNOu64PV+8u6vfd00hG1EF+tURepDiVWG//8bCM/b0vEzcXEW7d05dLj/UKkdruyQwP+2JPCD1uOcf+g5o4uR5yAQ4N6amoqVquV8PCKf8GEh4eza9euKu+TmJhY5fmJiSdvZlRUVERR0V9vDrKzs8+j6przzA87+GbTUVJzi+jZJIhXRnQkKtCr0nkLdyaRmV/CtV0iKSq14eF26nAKZVN5F+9OpmvjQJqH+bDlSBYFJVa83V3ZeSybq46vwf3XV1tIyirkivYRDG3fgDcXx/H1hgSah/vwzu3d7KMk1Wn53lTGzF5DidXg83WHeXdUN77ddJSPVh4E4L3lB0jKLrueHm5mDAOKS20Mbh3Omzd3Oev1Wa4uZqKDyr6vb97Uhf/9vof+LUIZ2T2aX7Yl8uC8Tby+cC/e7q7MWLLPfr9iq41PVh2yf70/JY8xs9fyw/0X0SrCl0lfb2X+xgRMJmgZ4UPXxs75BlpO7ct1R8gtKqVZmA/9WzjflGJH83Bz4epODflk1SG+WH9YQd1BVh8oa4rZs2mwgyupWujxNeppCuoi5+V/C/bw87ZE3F3MzLytC5e0UkivK4a0ieDfLlvZnZTDn3Gp9G2mf0/ru3qxPdvUqVN5+umnHV3GWUvLK7aPPqw+kM51M1bwxT19aBT8V1jflZjNXR+twzDgtYV7OZyRzwvXdmBE92igbEQ+JbeI7IIScousuLmYaBbmw4RPN7DuYAYAwd7upP2tadrXG49gs8Ga+LJRmjXx6Tzz4077FPCNhzK5YeZKPrqjhz3kGoZx0tFGwzCwGdhDdHJ2If5eblhc//pQwWYz+N/vZfubl9oMfCyuZOSXcOOsVZRYj4/iA0nZRXi6udAoyIvdxztk9msewrQbO513E5X2Uf68P7q7/ethnSP5Y28KX29I4NnjW58M7xzJ/0Z2YsW+VD5bc5gNBzO4rmsUW45ksmR3Cv/5Zhs3do9m/saE468dHvliC5+N7UWEv8d51Sc179vNRwG4rVdjzGrSU6UR3aL5ZNUhftmWSFZBCf6ebo4uqV7JLy5l65EswIlH1O1d3zX1XeRcZReW2ActXh7RUSG9jvH3cuPazlHMW3eY+z5Zz6zbu9HLST98lZrh0KAeEhKCi4sLSUlJFY4nJSURERFR5X0iIiLO6nyASZMmVZgun52dTXR09HlUXjPuvKgJN3SNIszPwrg5G9iTlMuNs1by0KUtOJZVyK29GvP8z7soXxp96HjX5f/+sIMBLUMJ8/Ng0tdbmbv2cJWP72o2YTabSMsrxt3FjI+HK7mFpZjNsOr4NEofiyt39WvChyviycgvoUmINw8Obs6Lv+zmQGoe181YwZ0XNeG3HUnsOJpNi3AfnhnWnvbH9/A1DINPVh1k1rL95BdZmT2mB4t3JzPt9z1EBnoybWRnOkcHYDabmLVsv71D+9D2DXh2eDtGvL2SPUllTTVevr4jPh6u/LotkXEDm9E0xJvvNh/F092Fy9qEX7Apyf93TTs2HMwgPi2fcD8LU65qC0Cf2BD6xP71aefRzAIGv7qU9Qcz7G+a7+nflG83HuVAah5Dpv1B18aBPPGPVtpzupY4nJ7P5sOZmE1o/d8ptI/0p1WEL7sSc/hq/RHuuKiJo0uqV3Yey6bUZhDuZ7F/cOpstD2byPn7dPUhcotKaRHuw5X6N6lOevqatuxLyWXdwQxunLWKSVe04p7+sY4uSxzEZDi4A1bPnj3p0aMHb7zxBgA2m41GjRoxYcIEHn/88Urnjxw5kvz8fL7//nv7sT59+tChQwdmzpx5Rs+ZnZ2Nv78/WVlZ+Pn5Vc8LucCSswu5cdYq9p/QwCzU10JKThGuZhNPX9OWhIwCPl93hNTcIq7tHMm1XaK49b3VQFnjNG93F3IKS8kpKgXg1l6NmHRFazYfzqRJqDdhvh7YDIMNBzP4vx920LahH2P7NaV5uC8pOUUsj0thcOtwfD3cSMwq5Pb3V9tD9IlMJhjWKZKLW4SwJym3wnTxqoT4WLiuayTvLjuA1WYw5ao2jO5b9kb/QGoeT3+/nSvaRTCyu+PWee9OzOHl33Zzb/9YujYOPOl5n687zL++3AJAZIAnCx/uT3J2EWM/Wmcf/W8W5sMP9190RksUxDE2H87E2+LCr9uTeOnX3fRtFsycu3o5uiyn9vGqgzz5zTaigzxZ8shAbRFUgz5dfYgn5m+lf4tQPryjh6PLqVJuUSntJv8KwPanh+BtqRcT+kTO2+bDmXy86iBhvhY+XBFPXrGVl67vwA3dnH/ASc5NTmEJz/20k8/WlA20vXN7N/UhqEPOJoc6PKjPmzePUaNG8fbbb9OjRw+mTZvG559/zq5duwgPD+f2228nMjKSqVOnAmXbs/Xv35/nn3+eoUOHMnfuXJ577jk2bNhAu3btzug5a2NQB8jKL+GRLzez8VAG1uMdyQGe+Ecr7r647NO2LUcyufrNPyvcb3SfGKZcXTYKnJxTyK3vruZYViE//bPfeY2+5BWV8vbSffyw9RhD2zdgSNsIZv2xn++OTxU+0T8HNefnrcfYm5xLkLc7D1/WghX70li0M5mCEqv9vGs6NWTayE61umHX/xbsYfriON68uQuXtyub6VFcamPDoQwmfLqR1Nwi7u0fy90XNyUjv5jYUB8HVywn2nE0m6veXI6JsqUaRaU2Xrzur+UkUrWCYit9nl9IRn4J/x3Wjtt6NXZ0SfXGlO+2M3tFPHdf3JQn/tHa0eWcVPvJv5JTVMrvEy/WrCKRMzB/4xEemre5wrGeTYKYc1dPXF0cvnGTXGBPfbuNj1YexNPNhU/u6qFeR3VErQrqAG+++SYvvfQSiYmJdOrUiddff52ePXsCMGDAAGJiYpg9e7b9/C+++IL//Oc/xMfH07x5c1588UX+8Y9/nPHz1dagfqLyEd4rOzTgmk6RFW4b+9E6FuwoWx4QHeTJT//sZ987HMpCY7HVhs8FGtHYeCiDbzYmsDMxh+yCEq7vGsVd/ZqSkVfM8rhUBrYKsz93camNNxft5fstx7i1V2NG9W5cJ/7xsdqMKkcUf9ueyN0fr8dsKpvlkJFfQtuGfvx3WDu6NKo8Up9TWFLh2kHZWv5tR7NoGeFbYY2/VI8Jn26wd/YHGNgylHdu71Ynfi4vtGm/72Ha73sBGDcgln9d3srBFdUPN7+zihX70px+lO3yaX+wKzGHD+/oocaMIqdxIDWPK19fRl6xlUGtwthxLBsXs4mv7utDuJ/63dQHJVYbd8xey7K9qfh6uPLZ2F60i/R3dFlynmpdUK9pdSGon8qOo9lc/eZyvC2ufHVfH5qFacTWmTwwdyPfbqo468DFbOKmHtH4WNxwdzXTNzaYdQczePm33fRvEcrYfk1p4O9BuJ8HT8zfyrebjtKlUQCfju1FdkEJf+xNxWYzuKpjw9NuSScnt/NYNkNfX4bNgKs7NsTHw5V//6O1pumeoRKrjVd+28PMpWXLXT4d27NCHwe5MLo9s4DU3GK+m9CXDlEBji7npO6YvZZFu5J5bnh7bVkpAny/+SjbjmZxd7+mBPtYOJCax+r9aWw8lMl3m49SUGKlR0wQn93dC7MJSm0GbvrQuF7JLy5l1PtrWBufQbC3O9/dfxGRAZ6OLkvOg4L6adT1oA5l3eD9PNxoqF9mp5ORV8wdH64lxMfCk0Pb8NJvu/m+iuUCZ6JjlD/xaflkFZQtgxjavgFv3ty5Vi8dcIRjWQUs25vKtAV7OJpVyGVtwpl1ezdHl1VrPTF/K5+uPkSYr4UXr+9A95ggfdhxgaTmFtHtmd8B2PF/Q/Byd97v83++2conqw4xYWAzHhnS0tHliDjU4t3J3DF7LYYBQd7uDGoVxpcbjnDiu/KujQN58+bONPDXe7n6LLuwhJtmrWL70WwuaRXGe6O66X1eLXY2OdR5/0WX89Iqom5+AFEXBHq7M39cX/vXb9zUmZu6R/PZ2sP4WFzIL7ayaFcyOYWljOrdmP2peRzLKuRQej7FpTaigzy5sXsj3li0l83Hu8s3C/MhPjWPH7ce4+J1IWfUeK/EamPlvjRaRfgS5ufB+oPp/LglkfsGxBLqa7lgr7+mFZVa7UsE8opK2ZWYja+HG42CvPhmYwI/bUtk+d4Uju88SGyoNy9e38GBFdd+T/yjNWsOpBOXnMvoD9bi7mLmgzHdtSfsBbDneJPKRkFeTh3SASIDynqiHM0scHAlIhfWkYx8DqXl07lRYJWz3LYlZPHPzzZiGODr4Up6XjFfrD8CQPeYQLo2DqJn0yAGtAhVIBP8PNx47cZOXPHaMhbtSuanrYkM7aCu//WBc/+rLlJP9GkWQp8TQkxhiZXErEJiQrwrHMstKrXvRzy8cyRz1x7GbIL7BsTywZ/xPP/zLp75cScDW4UR5lt5Dds3GxNYHpeKi8nEsr0pHM0qJDbUmyf+0Zr75myguNTGwbQ83hvdnfjUPApLrU77oc9PW4/x+44kbIbB0A4N8XJ34ZNVB7G4mhnWOZIBLcP4dlMC//pyC1d1bMh/r2nHTe+sYsvxDzdczSZKbX8NXXRpFECXRoGMvbgpAV7ujnpZdYKPxZVvx/fluZ928sOWY2QVlPDCL7v4dnxfvemsZjuOZgPQItz5m7M1DCj7O+mIgrrUUYZh8NhXW/h8XVnoDvZ2574BsSRmFbI1IYvIQE86RPrzv9/3klNYSveYQD68owdfb0hg/sYERnSLcugON+K8moX5Mm5AM15buJfJ323nomYh+Hu5nf6OUqtp6nsdnfou9Y/VZjBs+p9sTchiSNtwHrmsJUt2p2A1DLo0CmTBjkTeWXagyvuaTFSYbndTj2i+Wp9AsdVGn9hgpt/chUBvx4bXZXtT+GHzMR4e0oJftyXy5LfbT3n+6D4xfLbmEEWltgrHLa5mXM0m8oqthPpaGNM3hsvbRtBU3fcviLTcIvq9uJj8Yivv3t6NwdpiplqVNz985LIWTLikuaPLOaX1B9O5bsZKogI9Wf7YJY4uR5xEdmEJ6+PLdrO5qHlIrdi6tLjUhs0w8HBzwTAM1h3MIDbUh3eX7eetJfswmyDQy520vOKTPkbnRgF8dEePSg1jRU6mqNTKFa8tY39KHg39Pbi2SxTjBsY6/WwqqUhr1E9DQV3qqq1Hshj21p9YbSf/tb6pRzRB3u60jwwgLjmHl3/bA0C/5iG0buDHrD/2V7pPj5ggnhjamlYRvtX2JmrDoQzWHEinW+NAujYOPOVIa05hCQNeWkJaXjGRAZ4cyyrAZsCN3aPxdHdhye4UUnOKGNIuAsOArzYcsd+3bUM/9iTlUGIt+57Muq0rA1uFsT8lj0ZBXmq+VwOm/ryTt5fup09sMJ+O1X701anfi4s4nF7AJ3f25KLmzr204FhWAb2nLsLVbGL3M1dUuTOG1D47jmbzwZ8HaNPQj8Gtw7G4mXnxl90s2JHE8M6R3DcgliMZ+RSW2OjZJAhXFzMlVhtfrDtCQmY+89YeITW3CIDWDfx48srWdI8JcsqmacWlNj5ZdZDXF+3FzcXMjFu68M2mBD5ZdQgXs8n+b++L13Xg2i6RfLH+CC//upsgb3fuvKgJ245msWhnMtd2iWLCJc1qxYcS4lzWH8xg9AdryCksBSAm2IvP7u6lPga1iIL6aSioS132y7Zj/POzTRRbbfRqGkSApzsr96fRONiLOy9qUmE7v8ISKyPeXonJZOLjO3vg7e7Kp2sO8dv2RDpHB3BJ63BumLnCHnL7NgvmwzE92Hkshw/+PMCmI5m4u5jx9XCle0wQEy5pdkaf7K6NT+fWd1fbR7sHtw5n4qUtyMgvxt3VTLcTgrthGEz9eVelDxBu69WY/7umbaWAbxgGM5buY+W+NDo3CmRsvyZkF5ayaGcSwT4W/tFe67pq2uH0fPq9uBiA5Y8NJCrQy8EV1Q1puUV0feZ3TCbYPPky/Jx8ZM5qM2j5n58ptRmsmjSICH/HbDGVnlfMG4v2UlhiZfJVbRWWTmHlvjSScwpp29DfvoPMvpRcXvplN57uLkQFejLrj/2VZi6dyGzC3gMkMsCTp69uy5uL49h0ONN+TmSAJ/nFpWTklzVGjQ7ypFeTYDYdzsTXw5XhnSNZc7zr9ZNXtnHIhzzxqXmM/mAN8Wn5Jz3H4mrmP1e24bZeje3HrDYDswkt+5Fqk1dUWraDxk87OZZVSPMwH94d1Y3Gwd6nv3Md8+OWY0xfHMeRjHz8vdyIDfVh9pgeji7rlBTUT0NBXeq63Yk5pOUV0btp8Hm/OfhwRTzP/rQTq80om5rYLIS18elVvjHzcDPj6eaCyWTi4ctacEvPxhSX2tiakMmh9Hw83Vz5bUci3206SqnNoHmYDwfT8im2VnysjlH+TLysJRPnbaKo1EZuUdknx/8c1Jy9STlc06khl7dT4K5Nyvf6fmhwCx4Y7NxTtGuLhTuTuPPDdTQL8+H3if0dXc4ZueiFRRzJKODze3rTo0lQjT///pRcbpi50j4leXDrMGbe2hVXJxy9dbQV+1K5+Z3VQFnYHt2nCUcy8lm0K7lCfw+A3k2DsRkGa+PTsRnQPtKfW3s14sv1R1gbn4HF1Yy3paxpWjk/D1eGdmhA0xAfbuvdmMz8El75bTcLdyVXOO/vbuwezZSra/4Dlrs+XMvvO5MJ8bHw4ODm/BmXys/bEvFyd+GpK9vQJMSbhgGeRAfpg0ipGUcy8rl+xkoSswtxdzXz0vUdKgzG1HXvLz/A//2wo8Kx2FBvFj48wDEFnSEF9dNQUBc5O4Zh8PO2RMbN2WA/NrBlKKP6xOBiNnEsq5DXft9Lwt+aRN3WqzGLdiVXOg5waZtwXr+xM/tTc3nxl92sP5iBn4crmQUl5BdbK4zCeLm7MG5ALOMHNtOoRC01f+MRHpq3mXA/C0seGaglB9Xgld9288aiOK7rEsUrIzo6upwzMvajdSzYkcRjl7fivgGxNfa8hmGQmV/CtTNWcCA1j6ah3iRkFFBUauN/IzsyvHNUjdVSG1htBle9sZwdx7KrvH1gy1BCfCxk5JdwdaeGXNm+AWaziezCEgwD/D3LZncYhsGB1DwCvNxxMZu4/f01bD6cSZdGAbx2Y+cqQ21eUSlvLIojMauAKzs0ZOexbKYviaN5mC/bjmZhGGUhP8zPgyFtw4kJ9uZIRgEmE1zeLqJCA1TDMEjKLqLUZjunmTzfbz6K2WSiYYAHw99agdkECyb2J/Z4T5OS4x8yO+M0fakfDqXl88T8rSyPS8XVbOKdUd0Y2DLM0WVdMEnZhby+cC9HMgpYuicFgNt7N+bWXo3JLig53lvJuZeBKaifhoK6yLlZF5/O0j0phPt5cGP36AqjUCVWG4fT8ymxGsxZfZCPVh603xbg5UaLcF+yC0ro3CiAkd0b0Sk6oMrn2Hoki6unL7c3t5s9pjudGwXa3/hJ7VRYYmXQK0tJyCyoFY3PaoMRM1eyJj6d54a35+aetaNT9Ad/HuDp73dwcYtQPrrjwk9PzC4s4eHPN7Nqfxr+nm4cySggMsCTb8b35ZNVB3lt4V4GtAx1+qmSNe2bjQk8OG8TvhZXljw6gEW7klm8O5lmYb4Mbd+AlhHntstAYYm1LKg3DjyrcFtiteHmYubHLcd49scdHM0qPOm5A1qGkppbREmpQVpeEam5ZaPzt/RsxH+vaYf5DKbNl1ptvL4ojtcX7gX+mr5/bZdIXh3R6YzrFqkJNpvBw19sZv7GBIK93Vn08IA62RF+W0IWoz9YY/+dBnjksha1bhBHQf00FNRFLiyrzeDbTQlsPJRJdJAnt/WKOasR1CnfbWf2ingeGNSchy5tcQErlZr07aYEHpi7CReziWs7R/KfoW3q5JuJmpBfXErHp3+jxGqw9NEBtWZt4q7EbC6ftgxPNxc2T74Md9cLNxJptRkMf+tP+5aMAGG+Fj4d25NmYb7sS8ll0CtLcTWbWPPvwQQ5eGcLZ2G1GVz2v6XsS8lzyg/Vikqt7E7M4VB6PvPWHsYwyta0p+cVs2BHEn/vpepiNmEzDAwDejQJ4r7+sfRrHoLVMFi1P53iUhs9YoLw93IjJaeIj1fG8/m6IyRml30Y4O5ipthqo0ujAGbe1rXKrU9FHK241MbQ15exNzmXW3o24tnh7R1d0nkzDIONhzPJyCvGzcXMY19t4VhWIa0ifLm2SyRtG/rTt5lzj55X5WxyqPr5i0i1czGbuLZLFNd2ObfppE9e2YZru0TSPtK/misTR7qqQ0OW7E5h/sYEvlh/hOVxqXRpHMjNPRrVyn9sHWnNgXRKrAaRAZ40qkVrYluE+RLsXbZt1ZYjmXSLuXDr1BfuTGLLkSx8PVyZdEVr4pJzGd0nhkbBZd+v2FAf2jb0Y/vRbH7aeoxbT2gAVp/9tPUY+1Ly8PNwZVSfGEeXU4nF1YUOUQF0iArgyg4NK9y281g28zcm0CTEm8gAT7zcXWgf5c8v2xJ59IstrDmQzpoD6YT7WfD3dGNPUi4AIT4WruzQgK82HLF30w70cmPipS0Y2CqMhIwCejQJqlWjdlK/uLuaeWZYO0bOWsWnaw5xXdcoujQKdHRZZ2Xz4Uw+X3fY3iBvwY4k9qfmVTinaag3n9/b2+mbp1YXBXURcTouZhMdogIcXYZUM7PZxP9GduLWXo14cN4mDqcX8OOWY/y89RhPX9OuQqdkObWV+9KAsp0YalN4MJtN9IoN5sctx/hjT8oFDervLT8AwK29Gp90acA1nRqy/Wg2X6w/wq29GrMnKYcjGfkMbBlWq76v1SWnsITnftoJwB0XNal1e3y3buBH6waVR6iu6RRJt5gg3l22n283HSUpu4ik7CICvNzwdnclIbOA2SviAWgX6cc9F8dyWdtwLK5lM8G0U4XUBj2bBnN91yi+XH+Euz9aj7fFhbTcYjo3CuDqjg25vF0Evh5uWG0G6XnFhPi4O83fcyv3pTHq/TX25sKLdiUDZT2KmoZ6U1xa1mfiqSvb1JuQDpr6rqnvIiIOkFNYwuLdKSzZnczXGxKwuJpZOWmQph+foSvfWMa2hGymjezEsM61q8vv1xuOMPHzzbSK8OWXBy++IM+xOzGHIdP+wMVsYvljA0+6x3BKThG9py6k1Gbwweju3P/ZRnKLShncOozXbuyMt6Vuj2ckZhXy3E872Xg4g6YhPpTabPwZV7ad5y8PXFwnmz4Wl9r4ZlMCuxNzuOfipvh5ujF7RTxJ2YV0jArgqo4NHbL9m0h1SMstYtCrS8k8vtXhiQK93OjbLIQFO5IoKrXRMcqfp69pd9KeQTVh8+FMHpy3iQPHR877NQ/h4uah7DiWTY8mQVzVsSE+dezvYa1RPw0FdRER52AYBtdML1tH/OiQlowf2MzRJTm9zPxiOv93AYYBa54YRJhf7Vozm5VfQtdnFlBqM1j8yACahFT/+vryjviDW4fz7qhupzx33Jz1/LQ1sdLx0X1imHJ122qvzVmUWG2MeHslGw9lVjjuajbx0Z09nL5zsohULS45ly1HMmkY4ImPxZXFu5L5emOCPQyfyNVs4t9DW3NJqzDmrT3M2vh0RnSL5oZu0UDZv9GGAasPpNMi3IdgHwspOUVsTcikX/PQ89rxYH9KLtfNWEHG8Q8VBrcO582bO9f41os1TWvURUSkVjCZTIzuE8PEzzfz0cp4RveJqfOjmOdr1f40DAOahfnUupAO4O/lRu/YYJbtTeXX7Ync2796t2kzDIMftx4D4MoODU57/qjeMfag7u5i5l+Xt+SZH3fy0cp4ru8aRbtT9MrILy5lb1IuTUO9a9U08ayCEv7zzTY2HsrE18OVaSM7seZAOsVWGzd2b3TOXd1FxPGahfnQLMzH/nW7SH/u6R/L20v3sSsphzv6xhAV6MXT32/np62JPP39Dp7+/q/9yNfGZ3AoPZ9tCVmsjc+gRbgPGw5l4ufhyjWdIvl+y1Ey80toFeHLM8PandMSJqvNYOLnm8nIL6FDlD8fjulBoGbUVaIRdY2oi4g4VFGplYEvLeFoViHXdGrItJGdnGbdnDN68pttfLzqIKN6N+bpa9o5upxz8smqg/znm210bhTA/HF9q/WxyzvLu7uaWf+fwWcUoPel5LJiXxrNw3zo1TSY8Z9u4Mctx+jcKICv7u1T5ZZeO45mc+eHazmWVYi7q5mpw9tzXdcojmYWMOuP/exOzGFAy1Bu7tmoxkJ8cantlJ30k7ILeWjeJlYe/7DHbIK3bunC5e1O/4GGiNQthmHw0cqDvLpgD1kFJVzULIQwXwtfb0w47X1NJuzb6N59cVM6RPnz/vID7EnKpW+zYEb3aUKvpkH8tiOJ3Yk5jOgWzabDmaw5kE6IrzspOUV88Gc8vhZXFkzsT4R/7fvQ+Vxp6vtpKKiLiDiXNQfSuemdVVhtBv+8pBkTL2vp6JKcks1mMOjVpRxIzePt27oypG2Eo0s6J8nZhfScuhDDgFWTBlXrm7RHvtjMl+uPcGmbcN65/dTT3k8mMauQQa8sIa/Yyj39m1JUYiMtr5gnh7Zm4+FM3lwUx9aEsm3fLK5mikptuJpNjBsQywcr4u2dwwFCfS0Mbd+AQC93Qnzd6dcs1N55/lSOZhaw8VAmwT7ubEvIYtneVJqEeDO4dTgHUnPJKSqlqMTGxS1CaBHuy4NzN7FiXxov39CRoVXMJDiQmsfN76zi2PE9yGNDvXn+ug50v4AN/UTE+WUXlpCYVUiLcF8Mw+CLdUf4YesxvNxcuKR1GKv3p3Nzz0bsT8llX0oekYGeDGkTziu/7WHeusMnfVxfD9cKfxdW5b/XtOW23jHV/Iqcm4L6aSioi4g4n49XxvPkt9sBePmGjlzf9dy296vLZi7dx/M/78LDzczqSYNr9T70181YwfqDGfzfNW25vZreqG0/msWVbyzHMGD+uD50Po/tid75Yz/PHu+AXs7NxUSJtextk8kEA1uG8coNHXnqu+18v/mo/byOUf5c1bEhc1YfqnJd6D8HNefBQc0xm02k5xXz1fojxCXncnm7CPq3CGXpnhR7Y7szcWJdLmYTFzcPwd/TjaahPjQK8mL70Sx+3HKMo1mFxIZ6M+v2bsSG+pzmUUVETu2r9Ud49MvNmEwm7usfy4CWoXy76Sjz1h22z/CJDPDkQGoekQGeXNIqjIPp+ZRabVzfNYrhnSPr3Qw6BfXTUFAXEXFOr/62m9cXxdHQ34PFjw6wb49UHYpKrZRajQpr4A3DqPQmISm7kJzC0gpr/JzB2vh0bpxVNutg6rXtualH1VuO1Raz/tjHcz/tolfTIObe3btaHnPCpxv4YcsxrurYkDdu6nxej2W1GXy0Mp7ftifh6+HK7qQcDqbl42NxZVSfxtzRtwnBPhag7GfrwxXx/LItkTYN/XjyyjZYXF0oKrXy/eZj7E3KIbuwlH0puaw5kA7A4NZhXNY2gud/3kV6XrH9eQO83Owdm6MCy7rVx4b60KNJEAt2JJGYVUj7KH/8Pd0oKLHyy7ZErDaDyABP2jT0Y8GOpJO+pqah3nx+T29CjtctInK+dh7Lxs3FXOHfzLyiUg6l5xPqayHA043knCIi/DyqXEZU3yion4aCuoiIcyossdL/pcUkZRdVy0hrfnEpv+9M5sMV8aw/mIHJBNd1iaJjlD8frTzIofR8moX50DLClxbhvmQXlPDe8gOU2gzm3d3rgu7zfTaOZRUwfPoKErMLGdapIf+rA+v4D6fnM+DlJVhtBl/d14eujc999BugoNhKl/8uoKDEyncT+tIhKqB6Cj0uK7+E1QfS6NMs5Ly2C/py/RGemL+V4lKb/VjzMB+6Nwni+01HySkqxcVs4taejfj30DanXHMOkJ5XTEGJtexNsAk2HMpgV2IOOYWlrN6fRnp+CZ2jA2gY4MF1XaLsHy6IiEjNU1A/DQV1ERHn9dHKeJ76djte7i58Pa4PrSLO7e/pA6l53DBzJam5Red0/2ZhPvz4z4soLLGRnlfMt5sSSMwq5MHBLWq08c2yvSlM+HQjWQUlNA315vsJF9WZzviPfbmFeesO07NJEPPuOb9R9Z+2HmPcnA1EBXqy7F8DnfqDjM2HM3n2p50Uldro1yyECZc0w8OtbAR+46FMooO8iAyoeu93ERGpvRTUT0NBXUTEeZVabYz6YA1/xqURHeTJ9xMuIsDr7LZtsdoMRr69knUHM2jg78ENXaO4qWcjEjIKmLFkHyU2g+6NA7m8XQT7U/PYnZhDXHIubi5m2jT0463FcaTlFdMoyIuEzAKstr/+qfT3dGPOXT1PuW1XdVlzIJ3b3ltNUamN9pH+TL+5yxk1IqstjmYW0P+lxZRYDf54dOB5vbbyTu339G/KpCtaV2OVIiIi1UP7qIuISK3l6mLmzZu6cPX05RxOL2DCpxv58I4euJzF2rb3lx9g3cEMfCyufHFvb6ICywJgA39P3htdcTp783DfSt3TW0f4ct+cDRxKzwfAw81Mi3BfrDaD7UezefLbbXx9Xx9MJhMl1rIpzG4up56ifC6emL+VolIbl7QKY+atXU87Dbq2aRjgSZuG/mw+nMmmI5nnHNRTcopYsL1sbfaV7RtWZ4kiIiIOoaAuIiJOJ9DbnXdu78a1b61geVwqn6w6yKg+MZXOMwyDhTuT+XjVQTILSujVNIjhnSN56bfdAPxnaGt7SD8bfZqF8PMD/fhy/RH6NQ+xdw9Pzi5kwMtL2Hgokxd/3c2fcalsOZKFu4uZi1uEMOXqtuf0fFU5kpFPXHIuLmYT/xvZqc6F9HKdosqC+ubDmVzd8dxC9pzVBym22ugUHUD7qAs/00FERORCq5v/6ouISK3XKsKPSVe0AuDFX3YR/7dtrgzD4L8/7OSuj9axdE8Kmw9n8vbS/Vz1xnKKS230bxHKyO7R5/z8DQM8+eeg5hW2+Arz82D8wGYAzFiyjy1HyvbSLrba+H1nMuPmbKjQJOx8LN+bCkCn6AD8PWvvNmynU970bfPhzHO6/+H0fD5aeRCAOy9qUk1ViYiIOJaCuoiIOK1bejamW+NA8oqt3PLuag6n57NgRxI/bT3Gf3/Yyft/HgDg7oubMuWqNphNUGI1aN3Aj5du6HBBGord1z+WKVe1IdTXQv8WoSz710B+uP8i/D3d2HIkizcX7a2W51l2PKj3ax5SLY/nrDpGBwCw7WgWpdaz+5AjOaeQEW+vJD2vmGZhPlzeLuL0dxIREakFNPVdREScltls4q1bu3DjrFXsT8njyjeWk1VQUuGcyVe1YUzfspHUmBBvNh3OZGy/phesM7rZbGJ03yaM6hNj/yAgGnh2eDsmfLqRd5YdYFSfGEptBvuSc+kdG4zJZCIrvwQ3VxNe7qevy2oz+HNf/QjqTUO88bW4klNUyu6kHNo2PPXU9Y9Xlm211y0miKV7UjiWVUhsqDef3tXzgvQJEBERcQQFdRERcWphvh58NrYXI99eSXxaWXO3cD8LpVaD565tX6ER3ICWYQxoGVYjdf19tH5o+wa8HbmfrQlZ9Hl+ES5mE/nFVoZ3jsTNxcRXGxKIDfXm+/svwuLqcsrH3paQRWZ+Cb4WVzpW837gzsZsNtG9SRCLdiUzb+1h/u+aqoN6YYmV95Yf4KVfy/oPfLPpKAAmE7w6ohNhfjW3ZZ6IiMiFpqAuIiJOL9zPg0/H9uL5n3dxUbMQRnSPxmYzMJ9FJ/gLzWQy8eDg5tz54TqKTlinPn9jgv3/9yTl8tnqQ4zue+q11MvjykbTe8cG41oPRonv6teERbuSmbvmMNd0iqRLo4AKH4TsS8nlxlmrSMkpAuDqjg3ZfjSLfSl53NqzsX36vIiISF2hoC4iIrVCwwBPXr+ps/1rZwrp5S5pFcYrN3TkSEYBzcN9MJvKms61buBHsdXG1xsSeGNRHNd3i8bnFFPz/9iTAtT9ae/lejcNpkdMEGvi07luxgqGd47k1REd7WH9mR92kJJTRLifhbH9mnLnRU0wjLIAHxvq4+DqRUREqp+CuoiISDUxmUxc1zWqwrHL2zUAoMRqY8PBDOLT8nl/+QH+Oah5lY+RV1TKhkMZAPRrHnphC3YSJpOJl2/oyNPfb2fpnhTmb0zA2+LClR0akl9cyuLdKbiaTcy7uzcxId7H7wPNw30dXLmIiMiFUffn04mIiDgBNxczD1/WEoBZf+wnNbeoyvN+3Z5IidUgKtCTxsHVsyd7bdAo2Iv3RnfniX+0BuCTVYe4cdYq7vl4PQC3946xh3QREZG6TkFdRESkhgxt34B2kX7kFpVy90frmPrzTr7dlIDNZgBl3d5nLt0HwE09Gl2Q7eWc3Zi+Mbx4XQeGtm+A6fh2e31ig/nX5S0dXZqIiEiNMRmGYTi6iJqWnZ2Nv78/WVlZ+Pn5ObocERGpR/Yk5XDdjBXkFJbajzUN9SbM18Kq/ekA+FpcWf74Jfh7ujmqTKewLj6dNfHp3N475pRr+kVERGqDs8mh+ldPRESkBrUI9+W9Ud156dddRAV68fvOJPan5LE/Jc9+zj39m9b7kA7QLSaIbjFBji5DRESkxmlEXSPqIiLiQDmFJXy/+RiZBcVc3jYCf083gn0sji5LREREqplG1EVERGoJXw83bu7ZyNFliIiIiBNRMzkRERERERERJ6KgLiIiIiIiIuJEFNRFREREREREnIiCuoiIiIiIiIgTUVAXERERERERcSIK6iIiIiIiIiJOREFdRERERERExIkoqIuIiIiIiIg4EQV1ERERERERESfi6ugCHMEwDACys7MdXImIiIiIiIjUB+X5szyPnkq9DOo5OTkAREdHO7gSERERERERqU9ycnLw9/c/5Tkm40zifB1js9k4evQovr6+mEwmR5dzUtnZ2URHR3P48GH8/PwcXY5cALrGdZ+ucd2na1z36RrXfbrGdZ+ucd1XG66xYRjk5OTQsGFDzOZTr0KvlyPqZrOZqKgoR5dxxvz8/Jz2h02qh65x3adrXPfpGtd9usZ1n65x3adrXPc5+zU+3Uh6OTWTExEREREREXEiCuoiIiIiIiIiTkRB3YlZLBYmT56MxWJxdClygega1326xnWfrnHdp2tc9+ka1326xnVfXbvG9bKZnIiIiIiIiIiz0oi6iIiIiIiIiBNRUBcRERERERFxIgrqIiIiIiIiIk5EQV1ERERERETEiSioO7Hp06cTExODh4cHPXv2ZM2aNY4uSc7QH3/8wVVXXUXDhg0xmUx88803FW43DIOnnnqKBg0a4OnpyeDBg9m7d2+Fc9LT07nlllvw8/MjICCAO++8k9zc3Bp8FXIyU6dOpXv37vj6+hIWFsawYcPYvXt3hXMKCwsZP348wcHB+Pj4cN1115GUlFThnEOHDjF06FC8vLwICwvj0UcfpbS0tCZfipzEjBkz6NChA35+fvj5+dG7d29+/vln++26vnXP888/j8lk4sEHH7Qf03Wu3aZMmYLJZKrwp1WrVvbbdX3rhoSEBG699VaCg4Px9PSkffv2rFu3zn673nPVbjExMZV+j00mE+PHjwfq9u+xgrqTmjdvHhMnTmTy5Mls2LCBjh07MmTIEJKTkx1dmpyBvLw8OnbsyPTp06u8/cUXX+T1119n5syZrF69Gm9vb4YMGUJhYaH9nFtuuYXt27ezYMECfvjhB/744w/uvvvumnoJcgpLly5l/PjxrFq1igULFlBSUsJll11GXl6e/ZyHHnqI77//ni+++IKlS5dy9OhRrr32WvvtVquVoUOHUlxczIoVK/jwww+ZPXs2Tz31lCNekvxNVFQUzz//POvXr2fdunVccsklXHPNNWzfvh3Q9a1r1q5dy9tvv02HDh0qHNd1rv3atm3LsWPH7H+WL19uv03Xt/bLyMigb9++uLm58fPPP7Njxw5eeeUVAgMD7efoPVfttnbt2gq/wwsWLADghhtuAOr477EhTqlHjx7G+PHj7V9brVajYcOGxtSpUx1YlZwLwJg/f779a5vNZkRERBgvvfSS/VhmZqZhsViMzz77zDAMw9ixY4cBGGvXrrWf8/PPPxsmk8lISEiosdrlzCQnJxuAsXTpUsMwyq6nm5ub8cUXX9jP2blzpwEYK1euNAzDMH766SfDbDYbiYmJ9nNmzJhh+Pn5GUVFRTX7AuSMBAYGGu+++66ubx2Tk5NjNG/e3FiwYIHRv39/44EHHjAMQ7/HdcHkyZONjh07Vnmbrm/d8NhjjxkXXXTRSW/Xe66654EHHjBiY2MNm81W53+PNaLuhIqLi1m/fj2DBw+2HzObzQwePJiVK1c6sDKpDgcOHCAxMbHC9fX396dnz57267ty5UoCAgLo1q2b/ZzBgwdjNptZvXp1jdcsp5aVlQVAUFAQAOvXr6ekpKTCNW7VqhWNGjWqcI3bt29PeHi4/ZwhQ4aQnZ1tH7UV52C1Wpk7dy55eXn07t1b17eOGT9+PEOHDq1wPUG/x3XF3r17adiwIU2bNuWWW27h0KFDgK5vXfHdd9/RrVs3brjhBsLCwujcuTPvvPOO/Xa956pbiouL+eSTT7jjjjswmUx1/vdYQd0JpaamYrVaK/xAAYSHh5OYmOigqqS6lF/DU13fxMREwsLCKtzu6upKUFCQfgacjM1m48EHH6Rv3760a9cOKLt+7u7uBAQEVDj379e4qp+B8tvE8bZu3YqPjw8Wi4V7772X+fPn06ZNG13fOmTu3Lls2LCBqVOnVrpN17n269mzJ7Nnz+aXX35hxowZHDhwgH79+pGTk6PrW0fs37+fGTNm0Lx5c3799Vfuu+8+/vnPf/Lhhx8Ces9V13zzzTdkZmYyevRooO7/Pe3q6AJERGqz8ePHs23btgrrHqVuaNmyJZs2bSIrK4svv/ySUaNGsXTpUkeXJdXk8OHDPPDAAyxYsAAPDw9HlyMXwBVXXGH//w4dOtCzZ08aN27M559/jqenpwMrk+pis9no1q0bzz33HACdO3dm27ZtzJw5k1GjRjm4Oqlu7733HldccQUNGzZ0dCk1QiPqTigkJAQXF5dKHQuTkpKIiIhwUFVSXcqv4amub0RERKXGgaWlpaSnp+tnwIlMmDCBH374gcWLFxMVFWU/HhERQXFxMZmZmRXO//s1rupnoPw2cTx3d3eaNWtG165dmTp1Kh07duS1117T9a0j1q9fT3JyMl26dMHV1RVXV1eWLl3K66+/jqurK+Hh4brOdUxAQAAtWrQgLi5Ov8d1RIMGDWjTpk2FY61bt7YvcdB7rrrj4MGD/P7779x11132Y3X991hB3Qm5u7vTtWtXFi5caD9ms9lYuHAhvXv3dmBlUh2aNGlCREREheubnZ3N6tWr7de3d+/eZGZmsn79evs5ixYtwmaz0bNnzxqvWSoyDIMJEyYwf/58Fi1aRJMmTSrc3rVrV9zc3Cpc4927d3Po0KEK13jr1q0V3hwsWLAAPz+/Sm86xDnYbDaKiop0feuIQYMGsXXrVjZt2mT/061bN2655Rb7/+s61y25ubns27ePBg0a6Pe4jujbt2+l7VH37NlD48aNAb3nqks++OADwsLCGDp0qP1Ynf89dnQ3O6na3LlzDYvFYsyePdvYsWOHcffddxsBAQEVOhaK88rJyTE2btxobNy40QCMV1991di4caNx8OBBwzAM4/nnnzcCAgKMb7/91tiyZYtxzTXXGE2aNDEKCgrsj3H55ZcbnTt3NlavXm0sX77caN68uXHTTTc56iXJCe677z7D39/fWLJkiXHs2DH7n/z8fPs59957r9GoUSNj0aJFxrp164zevXsbvXv3tt9eWlpqtGvXzrjsssuMTZs2Gb/88osRGhpqTJo0yREvSf7m8ccfN5YuXWocOHDA2LJli/H4448bJpPJ+O233wzD0PWtq07s+m4Yus613cMPP2wsWbLEOHDggPHnn38agwcPNkJCQozk5GTDMHR964I1a9YYrq6uxrPPPmvs3bvXmDNnjuHl5WV88skn9nP0nqv2s1qtRqNGjYzHHnus0m11+fdYQd2JvfHGG0ajRo0Md3d3o0ePHsaqVascXZKcocWLFxtApT+jRo0yDKNsu5Ann3zSCA8PNywWizFo0CBj9+7dFR4jLS3NuOmmmwwfHx/Dz8/PGDNmjJGTk+OAVyN/V9W1BYwPPvjAfk5BQYExbtw4IzAw0PDy8jKGDx9uHDt2rMLjxMfHG1dccYXh6elphISEGA8//LBRUlJSw69GqnLHHXcYjRs3Ntzd3Y3Q0FBj0KBB9pBuGLq+ddXfg7quc+02cuRIo0GDBoa7u7sRGRlpjBw50oiLi7PfrutbN3z//fdGu3btDIvFYrRq1cqYNWtWhdv1nqv2+/XXXw2g0nUzjLr9e2wyDMNwyFC+iIiIiIiIiFSiNeoiIiIiIiIiTkRBXURERERERMSJKKiLiIiIiIiIOBEFdREREREREREnoqAuIiIiIiIi4kQU1EVERERERESciIK6iIiIiIiIiBNRUBcRERERERFxIgrqIiIiIiIiIk5EQV1ERERERETEiSioi4iIiIiIiDgRBXURERERERERJ6KgLiIi5+zjjz+mVatWuLm5ERAQ4OhypAbExMQwevRoR5dx3gYMGMCAAQMcXYZTWbJkCSaTiSVLlji6FBGRek9BXUREqvTWW29hMpno2bNnlbfv2rWL0aNHExsbyzvvvMOsWbPIz89nypQpeqMvUs+sWLGCKVOmkJmZ6ehSRETqBFdHFyAiIs5pzpw5xMTEsGbNGuLi4mjWrFmF25csWYLNZuO1116z35aamsrTTz8NoNHKOmr37t2YzbX/c/7ffvvN0SXUKStWrODpp59m9OjRml0jIlINav+/tCIiUu0OHDjAihUrePXVVwkNDWXOnDmVzklOTgaokTfleXl5F+yx8/PzL9hj/92FfB01xWKx4Obm5ugyzpu7uzvu7u6OLkNERKRKCuoiIlLJnDlzCAwMZOjQoVx//fWVgnpMTAyTJ08GIDQ0FJPJxOjRowkNDQXg6aefxmQyYTKZmDJliv1+u3bt4vrrrycoKAgPDw+6devGd999V+GxZ8+ejclkYunSpYwbN46wsDCioqJOWmv5utp58+bxxBNPEBERgbe3N1dffTWHDx+ucO6AAQNo164d69ev5+KLL8bLy4snnngCgKKiIiZPnkyzZs2wWCxER0fzr3/9i6KiogqPYTKZmDBhAnPmzKFly5Z4eHjQtWtX/vjjjwrnTZkyBZPJxI4dO7j55psJDAzkoosuAqC0tJT//ve/xMbGYrFYiImJ4Yknnqj0XAA///wz/fv3x9fXFz8/P7p3786nn35a4ZzVq1dz+eWX4+/vj5eXF/379+fPP/+scE5OTg4PPvggMTExWCwWwsLCuPTSS9mwYYP9nL1793LdddcRERGBh4cHUVFR3HjjjWRlZdnP+fsa9fLr9eeffzJx4kRCQ0Px9vZm+PDhpKSkVKjBZrMxZcoUGjZsiJeXFwMHDmTHjh1ntO79ZOun4+PjMZlMzJ49234sMTGRMWPGEBUVhcVioUGDBlxzzTXEx8fbz/n7GvXyx//888959tlniYqKwsPDg0GDBhEXF1epnunTp9O0aVM8PT3p0aMHy5Ytq/CYhmEQEhLCxIkTK7z+gIAAXFxcKkwRf+GFF3B1dSU3NxeALVu2MHr0aJo2bYqHhwcRERHccccdpKWl2e/z5Zdf2n9P/u7tt9/GZDKxbds2+7Ez+d07mdP9fE2ZMoVHH30UgCZNmth/90/8fouIyNnR1HcREalkzpw5XHvttbi7u3PTTTcxY8YM1q5dS/fu3QGYNm0aH330EfPnz2fGjBn4+PjQvn17evXqxX333cfw4cO59tprAejQoQMA27dvp2/fvkRGRvL444/j7e3N559/zrBhw/jqq68YPnx4hRrGjRtHaGgoTz311BmNRD/77LOYTCYee+wxkpOTmTZtGoMHD2bTpk14enraz0tLS+OKK67gxhtv5NZbbyU8PBybzcbVV1/N8uXLufvuu2ndujVbt27lf//7H3v27OGbb76p8FxLly5l3rx5/POf/8RisfDWW29x+eWXs2bNGtq1a1fh3BtuuIHmzZvz3HPPYRgGAHfddRcffvgh119/PQ8//DCrV69m6tSp7Ny5k/nz59vvO3v2bO644w7atm3LpEmTCAgIYOPGjfzyyy/cfPPNACxatIgrrriCrl27MnnyZMxmMx988AGXXHIJy5Yto0ePHgDce++9fPnll0yYMIE2bdqQlpbG8uXL2blzJ126dKG4uJghQ4ZQVFTE/fffT0REBAkJCfzwww9kZmbi7+9/yu///fffT2BgIJMnTyY+Pp5p06YxYcIE5s2bZz9n0qRJvPjii1x11VUMGTKEzZs3M2TIEAoLC097fc/Gddddx/bt27n//vuJiYkhOTmZBQsWcOjQIWJiYk553+effx6z2cwjjzxCVlYWL774IrfccgurV6+2nzNjxgwmTJhAv379eOihh4iPj2fYsGEEBgbaP1QymUz07du3wgc4W7ZsISsrC7PZzJ9//snQoUMBWLZsGZ07d8bHxweABQsWsH//fsaMGUNERATbt29n1qxZbN++nVWrVmEymRg6dCg+Pj58/vnn9O/fv8JrmDdvHm3btrX/LJ7t796JzuTn69prr2XPnj189tln/O9//yMkJATA/sGdiIicA0NEROQE69atMwBjwYIFhmEYhs1mM6KioowHHnigwnmTJ082ACMlJcV+LCUlxQCMyZMnV3rcQYMGGe3btzcKCwvtx2w2m9GnTx+jefPm9mMffPCBARgXXXSRUVpaetp6Fy9ebABGZGSkkZ2dbT/++eefG4Dx2muv2Y/179/fAIyZM2dWeIyPP/7YMJvNxrJlyyocnzlzpgEYf/75p/0YYADGunXr7McOHjxoeHh4GMOHD6/0/bnpppsqPOamTZsMwLjrrrsqHH/kkUcMwFi0aJFhGIaRmZlp+Pr6Gj179jQKCgoqnGuz2ez/bd68uTFkyBD7McMwjPz8fKNJkybGpZdeaj/m7+9vjB8/vqpvoWEYhrFx40YDML744ouTnmMYhtG4cWNj1KhR9q/Lr9fgwYMr1PDQQw8ZLi4uRmZmpmEYhpGYmGi4uroaw4YNq/B4U6ZMMYAKj1mV8uu8ePHiCscPHDhgAMYHH3xgGIZhZGRkGIDx0ksvnfLx+vfvb/Tv37/S47du3dooKiqyH3/ttdcMwNi6dathGIZRVFRkBAcHG927dzdKSkrs582ePdsAKjzmSy+9ZLi4uNh/Ll9//XWjcePGRo8ePYzHHnvMMAzDsFqtRkBAgPHQQw/Z75efn1+p3s8++8wAjD/++MN+7KabbjLCwsIq/J4cO3bMMJvNxv/93//Zj53p797fv8dn8/P10ksvGYBx4MCBSrWLiMjZ09R3ERGpYM6cOYSHhzNw4ECgbGRw5MiRzJ07F6vVek6PmZ6ezqJFixgxYgQ5OTmkpqaSmppKWloaQ4YMYe/evSQkJFS4z9ixY3FxcTnj57j99tvx9fW1f3399dfToEEDfvrppwrnWSwWxowZU+HYF198QevWrWnVqpW9ttTUVC655BIAFi9eXOH83r1707VrV/vXjRo14pprruHXX3+t9D269957K3xdXs+JU6IBHn74YQB+/PFHoGxUNScnh8cffxwPD48K55pMJgA2bdrE3r17ufnmm0lLS7PXnZeXx6BBg/jjjz+w2WxAWS+B1atXc/To0Sq/f+Uj5r/++us5rdu/++677XUB9OvXD6vVysGDBwFYuHAhpaWljBs3rsL97r///rN+rlPx9PTE3d2dJUuWkJGRcdb3HzNmTIW16/369QNg//79AKxbt460tDTGjh2Lq+tfExNvueUWAgMDKzxW+fdgxYoVQNnIeb9+/ejXrx/Lli0DYNu2bWRmZtqfp/w1lCssLCQ1NZVevXoBVFiqMHLkSJKTkyssB/jyyy+x2WyMHDkSOLffvXJn8/MlIiLVS0FdRETsrFYrc+fOZeDAgRw4cIC4uDji4uLo2bMnSUlJLFy48JweNy4uDsMwePLJJwkNDa3wp3yte3lzunJNmjQ5q+do3rx5ha9NJhPNmjWrtE42MjKyUhOxvXv3sn379kq1tWjRosra/v5cAC1atCA/P7/Suuy/v46DBw9iNpsrddGPiIggICDAHmz37dsHUGkq/d/rBhg1alSl2t99912Kiors68tffPFFtm3bRnR0ND169GDKlCn28Fle58SJE3n33XcJCQlhyJAhTJ8+vcL69FNp1KhRha/LQ2t5WC5/XX9/3UFBQZUC7vmwWCy88MIL/Pzzz4SHh3PxxRfz4osvkpiYeEb3P9fX4erqWmlafZcuXfDy8rKH8vKgfvHFF7Nu3ToKCwvtt5X3L4CycP3AAw8QHh6Op6cnoaGh9p+jE69H+brxE5cXzJs3j06dOtl/ds/ld6/c2fx8iYhI9dIadRERsVu0aBHHjh1j7ty5zJ07t9Ltc+bM4bLLLjvrxy0fdXvkkUcYMmRIlef8PficOKpYnap6XJvNRvv27Xn11VervE90dHS1Ph9QYfT5XJV/X1966SU6depU5Tnl655HjBhBv379mD9/Pr/99hsvvfQSL7zwAl9//TVXXHEFAK+88gqjR4/m22+/5bfffuOf//wnU6dOZdWqVads6AecdPaDcXxd/vk62ferqlkeDz74IFdddRXffPMNv/76K08++SRTp05l0aJFdO7c+ZTPU52vw83NjZ49e/LHH38QFxdHYmIi/fr1Izw8nJKSElavXs2yZcto1apVhfXcI0aMYMWKFTz66KN06tQJHx8fbDYbl19+eYURbIvFwrBhw5g/fz5vvfUWSUlJ/Pnnnzz33HP2c87ld+/v9z2Tny8REaleCuoiImI3Z84cwsLCmD59eqXbvv76a+bPn8/MmTPPOnw2bdoUKAsugwcPrr6CT1A++lfOMAzi4uLszexOJTY2ls2bNzNo0KAzCtB/fy6APXv24OXlddoGWo0bN8Zms7F3715at25tP56UlERmZiaNGze21wRlU6NPFqTKz/Hz8zuj72uDBg0YN24c48aNIzk5mS5duvDss8/agzpA+/btad++Pf/5z39YsWIFffv2ZebMmTzzzDOnffxTKX9dcXFxFWYZpKWlndEU9fKR7RO7pcNfI9x/Fxsby8MPP8zDDz/M3r176dSpE6+88gqffPLJOb6CMie+jvLlIVDWyT8+Pr7Sz1u/fv144YUX+P333wkJCaFVq1aYTCbatm3LsmXLWLZsGVdeeaX9/IyMDBYuXMjTTz/NU089ZT9e1c8clE1///DDD1m4cCE7d+7EMAz7tHc4v9+9s/n5qo4PnkRE5C+a+i4iIgAUFBTw9ddfc+WVV3L99ddX+jNhwgRycnJOuaWTl5cXUDlMhYWFMWDAAN5++22OHTtW6X5/ny5+Lj766CNycnLsX3/55ZccO3asQgg9mREjRpCQkMA777xT6baCgoJKXedXrlxZYa3w4cOH+fbbb7nssstOu67+H//4B1DWOf9E5aP55Z3AL7vsMnx9fZk6dWqlrujlo7tdu3YlNjaWl19+2b6114nKv69Wq7XSFOWwsDAaNmxo3xIuOzub0tLSCue0b98es9lc5bZxZ2vQoEG4uroyY8aMCsfffPPNM7p/48aNcXFxqbQN3ltvvVXh6/z8/Erfr9jYWHx9favldXTr1o3g4GDeeeedCt+vOXPmVPmBQ79+/SgqKmLatGlcdNFF9kDbr18/Pv74Y44ePVphfXr5z8/fR/D//vNSbvDgwQQFBTFv3jzmzZtHjx49KnwQcj6/e2f68wXg7e0NVP7dFxGRc6MRdRERAeC7774jJyeHq6++usrbe/XqRWhoKHPmzKkwYnciT09P2rRpw7x582jRogVBQUG0a9eOdu3aMX36dC666CLat2/P2LFjadq0KUlJSaxcuZIjR46wefPm86o/KCiIiy66iDFjxpCUlMS0adNo1qwZY8eOPe19b7vtNj7//HPuvfdeFi9eTN++fbFarezatYvPP/+cX3/9lW7dutnPb9euHUOGDKmwPRuU7R9/Oh07dmTUqFHMmjWLzMxM+vfvz5o1a/jwww8ZNmyYfZTWz8+P//3vf9x11110797dvhf75s2byc/P58MPP8RsNvPuu+9yxRVX0LZtW8aMGUNkZCQJCQksXrwYPz8/vv/+e3JycoiKiuL666+nY8eO+Pj48Pvvv7N27VpeeeUVoGzZw4QJE7jhhhto0aIFpaWlfPzxx7i4uHDdddedyyWpIDw8nAceeIBXXnmFq6++mssvv5zNmzfz888/ExISctoRWX9/f2644QbeeOMNTCYTsbGx/PDDD5XWV+/Zs4dBgwYxYsQI2rRpg6urK/PnzycpKYkbb7zxvF+Hu7s7U6ZM4f777+eSSy5hxIgRxMfHM3v2bGJjYyu9jt69e+Pq6sru3bu5++677ccvvvhi+4cWJwZ1Pz8/+7r6kpISIiMj+e233zhw4ECV9bi5uXHttdcyd+5c8vLyePnllyudc66/e2f68wXYmyv++9//5sYbb8TNzY2rrrrKHuBFROQsOa7hvIiIOJOrrrrK8PDwMPLy8k56zujRow03NzcjNTW1yu3ZDMMwVqxYYXTt2tVwd3evtFXbvn37jNtvv92IiIgw3NzcjMjISOPKK680vvzyS/s55dt9rV279ozqLt9S6rPPPjMmTZpkhIWFGZ6ensbQoUONgwcPVji3f//+Rtu2bat8nOLiYuOFF14w2rZta1gsFiMwMNDo2rWr8fTTTxtZWVn28wBj/PjxxieffGI0b97csFgsRufOnSttG3ay749hGEZJSYnx9NNPG02aNDHc3NyM6OhoY9KkSRW2zyr33XffGX369DE8PT0NPz8/o0ePHsZnn31W4ZyNGzca1157rREcHGxYLBajcePGxogRI4yFCxcahlG2pdijjz5qdOzY0fD19TW8vb2Njh07Gm+99Zb9Mfbv32/ccccdRmxsrOHh4WEEBQUZAwcONH7//fcKz3Wy7dn+fr2q2k6ttLTUePLJJ42IiAjD09PTuOSSS4ydO3cawcHBxr333lvldTlRSkqKcd111xleXl5GYGCgcc899xjbtm2rsD1bamqqMX78eKNVq1aGt7e34e/vb/Ts2dP4/PPPKzzWybZn+/v2dH/f/q1c+VZrFovF6NGjh/Hnn38aXbt2NS6//PJKdXfv3t0AjNWrV9uPHTlyxACM6OjoSucfOXLEGD58uBEQEGD4+/sbN9xwg3H06NGTbn24YMECAzBMJpNx+PDhKr93Z/K7d7It8E7381Xuv//9rxEZGWmYzWZt1SYicp5MhlFNXV5EREQcYMmSJQwcOJAvvviC66+//oI/n8lkYvz48Wc8ZVtOLTMzk8DAQJ555hn+/e9/O7qcc2az2QgNDeXaa6+tcgmFiIjI2dAadREREakRBQUFlY6Vr70eMGBAzRZzHgoLCyutIf/oo49IT0+vVa9DREScl9aoi4iISI2YN28es2fP5h//+Ac+Pj4sX76czz77jMsuu4y+ffs6urwztmrVKh566CFuuOEGgoOD2bBhA++99x7t2rXjhhtucHR5IiJSByioi4iISI3o0KEDrq6uvPjii2RnZ9sbzJ3v1m81LSYmhujoaF5//XXS09MJCgri9ttv5/nnn8fd3d3R5YmISB2gNeoiIiIiIiIiTkRr1EVERERERESciIK6iIiIiIiIiBOpl2vUbTYbR48exdfXF5PJ5OhyRET+v737Do+qTNsAfp/paZPee0gg1BBaCE2EKGBFXRcQV0XFig11Fb+1rbuLfV2VlbViWQVxrSAgRopAaIFQQyC99zKpU8/3xySjkSIlkzPl/l3XXCszZ855Zk8mOc95n/d5iYiIiMjFiaKI1tZWREREQCY785i5WybqlZWViI6OljoMIiIiIiIicjNlZWWIioo64zZumaj7+PgAsP4fpNVqJY6GiIiIiIiIXJ1Op0N0dLQtHz0Tt0zUe8rdtVotE3UiIiIiIiLqN2cz/ZrN5IiIiIiIiIgcCBN1IiIiIiIiIgfCRJ2IiIiIiIjIgTBRJyIiIiIiInIgTNSJiIiIiIiIHAgTdSIiIiIiIiIHwkSdiIiIiIiIyIEwUSciIiIiIiJyIEzUiYiIiIiIiBxIvyTqy5YtQ1xcHDQaDdLS0rB79+7TbvvOO+9g8uTJ8Pf3h7+/PzIyMk7aXhRFPPXUUwgPD4eHhwcyMjJw4sQJe38MIiIil/BNTgVmvrYVo5/biKXrctHcYZA6JCIiIvoVuyfqq1atwuLFi/H0009j3759SElJwYwZM1BbW3vK7Tdv3ox58+Zh06ZNyMrKQnR0NC699FJUVFTYtnnxxRfx+uuvY/ny5di1axe8vLwwY8YMdHV12fvjEBERObXlWwrwwMocHKtuRUO7Af/ZUoiLX96MTXmn/rtMRERE/U8QRVG05wHS0tIwduxYvPnmmwAAi8WC6Oho3HfffXj88cd/9/1msxn+/v548803cdNNN0EURURERODhhx/GI488AgBoaWlBaGgoVqxYgblz5/7uPnU6HXx9fdHS0gKtVnthH5CIiMhJfJFdjkdWHwAA3HlRAlKj/fHqxjwcr2mDh1KOVXeOx4goP2mDJCIiclHnkofadUTdYDAgOzsbGRkZvxxQJkNGRgaysrLOah8dHR0wGo0ICAgAABQVFaG6urrXPn19fZGWlnbafer1euh0ul4PIiIid7KvtAlPfHkIAHDP1AFYMmswZg4Lw9r7J2PKwGB0Gs246f3d2FvcKHGkREREZNdEvb6+HmazGaGhob2eDw0NRXV19Vnt47HHHkNERIQtMe9537nsc+nSpfD19bU9oqOjz/WjEBEROa3qli7c+XE2DGYLZgwNxSOXDrK9ppTLsOyGVKTG+KG5w4gb3tmFj7KKYeeCOyIiIjoDh+76/vzzz2PlypX46quvoNFozns/S5YsQUtLi+1RVlbWh1ESERE5ri6jGXd+vBd1rXoMCvXBq38cCZlM6LWNj0aJT28fj1nDwmAwW/DUN0dw76f70NpllChqIiIi92bXRD0oKAhyuRw1NTW9nq+pqUFYWNgZ3/vyyy/j+eefxw8//IARI0bYnu9537nsU61WQ6vV9noQERG5OrNFxJ+/OIgD5S3w91Ti3ZvHwEutOOW2Hio5/j1/FJ66YgiUcgHfH6rG1W9uR35taz9HTURERHZN1FUqFUaPHo3MzEzbcxaLBZmZmUhPTz/t+1588UU899xzWL9+PcaMGdPrtfj4eISFhfXap06nw65du864TyIiInciiiKe+PIQvj1QCblMwLL5oxAd4HnG9wiCgFsnxePzO9MR4atBYX075vxnJ47XMFknIiLqT3YvfV+8eDHeeecdfPjhh8jNzcXdd9+N9vZ2LFiwAABw0003YcmSJbbtX3jhBTz55JN4//33ERcXh+rqalRXV6OtrQ2A9SLiwQcfxN/+9jd8++23OHToEG666SZERERg9uzZ9v44RERETuGHozVYtbcMcpmAf80diQkDgs76vakx/vjuvkkYFqlFQ7sBN767C9UtXAKViIiov5y6/q0PzZkzB3V1dXjqqadQXV2NkSNHYv369bZmcKWlpZDJfrlf8NZbb8FgMOAPf/hDr/08/fTTeOaZZwAAf/7zn9He3o477rgDzc3NmDRpEtavX39B89iJiIhchcFkwdLvcwEAd12UgCtGRJzzPgK91fjktjRcvzwLJ2rbcPtHe7D6zgnwUMn7OlwiIiL6Dbuvo+6IuI46ERG5stV7y/DoFwcR7KPGpkemwvs089LPRlljB65eth2N7QZcNjwMb84bdVIzOiIiIvp9DrOOOhEREfW/lXusq5vcMiHugpJ0AIgO8MR//jTa1mDunz8e74sQiYiI6AyYqBMREbmQEzWtyC5pglwm4PrRUX2yz7FxAVh6rXUFljd+yseGI9V9sl8iIiI6NSbqRERELuSL7HIAwLTkEIRo+653yx9GR+H2SfEAgBfWHYPZ4nYz54iIiPoNE3UiIiIXIYoi1hysAgBcmxrZ5/t/8JKB8PdUorC+Hd8eqOjz/RMREZEVE3UiIiIXsa+0GRXNnfBSyXFxckif799brcDCKQkAgOWbC+GG/WiJiIj6BRN1IiIiF7G2ezQ9Y0goNEr7LKM2Py0WHko58mpasae4yS7HICIicndM1ImIiFyAxSLi+0PWRP181k0/W74eSlw90rr/j3eW2O04RERE7oyJOhERkQvYW9KEal0XfDQKTBkYZNdj3Tg+FgCw4XA12vQmux6LiIjIHTFRJyIicgFrD1YCAC4dEga1wj5l7z2GRmgRH+QFg9mCLXl1dj0WERGRO2KiTkRE5OREUcS6w9a1za8YEW734wmCgEuGhAIANh7lmupERER9jYk6ERGRkzte04baVj00ShkmJAb2yzF7EvWfjtXCaLb0yzGJiIjcBRN1IiIiJ5dVUA8AGBsXYPey9x6jYvwR6KWCrsuE3UWN/XJMIiIid8FEnYiIyMntKGgAAEwYYN8mcr8mlwmY1r1W+8ajNf12XCIiInfARJ2IiMiJmS0idhb2JOr9U/be45d56jUQRbFfj01EROTKmKgTERE5sdwqHXRdJvioFRgaoe3XY09OCoZGKUNFcyeOVOr69dhERESujIk6ERGRE8suaQIAjIr1h0Lev3/WPVRyTEoMBgBsOc5l2oiIiPoKE3UiIiIn1pOoj471l+T4UwZa58X/fIKJOhERUV9hok5EROTEpE7UJycF2+Jo15skiYGIiMjVMFEnIiJyUtUtXaho7oRMAFKi/SSJIS7QE5F+HjCaRS7TRkRE1EeYqBMRETmpfaXW0fTkMC281QpJYhAEAZOTesrf6yWJgYiIyNUwUSciInJSRypbAAAjonwljaOn/H1bPuepExER9QUm6kRERE4qt6oVADCkn5dl+60JAwIhCMDxmjbU6LokjYWIiMgVMFEnIiJyUke71y4fHC5tou7vpcLwSOuo/jaWvxMREV0wJupEREROqKndgOru0evkMB+JowEmJXKZNiIior7SL4n6smXLEBcXB41Gg7S0NOzevfu02x45cgTXXXcd4uLiIAgCXnvttZO2eeaZZyAIQq9HcnKyHT8BERGRY8mtso6mxwR4wkejlDiaXxL1nYWNEEVR4miIiIicm91bxK5atQqLFy/G8uXLkZaWhtdeew0zZsxAXl4eQkJCTtq+o6MDCQkJuP766/HQQw+ddr9Dhw7Fjz/+aPu3QiFNt1siIiIpHK3qKXuXfjQdAFJj/KGQCajWWZeMi/L3lDokInJhoigir6YV2/MbcLiiBcdrWuGlUmBUrD/mjI1GfJCX1CESXRC7Z7evvvoqFi5ciAULFgAAli9fjrVr1+L999/H448/ftL2Y8eOxdixYwHglK/3UCgUCAsLs0/QREREDi6v2tpILjlM2vnpPTxUcgyL9EVOWTP2FjcxUSciuyioa8N3Byqx5mAV8mvbTnp9d3Ej3t5agOtGRWHJZYMR4KWSIEqiC2fXRN1gMCA7OxtLliyxPSeTyZCRkYGsrKwL2veJEycQEREBjUaD9PR0LF26FDExMRcaMhERkVPIr7NeoCaFekscyS/Gxvkjp6wZe4obMTs1UupwiMiF1LXq8dyao/j2QKXtOZVChkmJQRgZ7YfB4Vq0dhnx7YFKbM6rw+rscmzKq8ML1w3H9MGhEkZOdH7smqjX19fDbDYjNLT3lyM0NBTHjh077/2mpaVhxYoVGDRoEKqqqvDss89i8uTJOHz4MHx8Ti4B1Ov10Ov1tn/rdLrzPjYREZHURFG0jSQlhjhOoj4mLgDv/FyEPcWNUodCRC4kv7YNN7+/GxXNnRAE4KKBwbhyRAQuGRoK7W96dFw7Kgr7Spvw2BcHcaK2Dbd9uBfXpEbi/y4fjCBvtUSfgOjcOeXE7lmzZtn+e8SIEUhLS0NsbCw+//xz3HbbbSdtv3TpUjz77LP9GSIREZHd1LXq0dplgkyAQ83DHBPrD8C6nnpzhwF+niw5JaILU1DXhrlvZ6G+zYD4IC+8MS8Vw7qXgzydUTH++O6+SXh143G883MhvtpfgczcGjw2Kxk3jIuBIAj9FD3R+bNr1/egoCDI5XLU1NT0er6mpqZP55f7+flh4MCByM/PP+XrS5YsQUtLi+1RVlbWZ8cmIiLqbz2j6TEBnlAr5BJH84tAbzUSgq03DrJLmiSOhoicXXlTB258dxfq2wwYEq7FF3el/26S3kOjlOOJywbjq3smYlikFrouE/7vq8O4+YM9qOle2pLIkdk1UVepVBg9ejQyMzNtz1ksFmRmZiI9Pb3PjtPW1oaCggKEh4ef8nW1Wg2tVtvrQURE5Kx65qcPCHacsvceY2MDAAB7ipmoE9H5a2w34MZ3d6GqpQsDgr3w8W3jEHgepesjo/3wzb2T8NQVQ6BWyLD1eB1mvLYVW47X2SFqor5j93XUFy9ejHfeeQcffvghcnNzcffdd6O9vd3WBf6mm27q1WzOYDAgJycHOTk5MBgMqKioQE5OTq/R8kceeQRbtmxBcXExduzYgWuuuQZyuRzz5s2z98chIiKSnCPOT+8xJs5a/r6X89SJ6DyJoojH/3cQxQ0diPL3wH9vH39eSXoPuUzArZPisfb+SRgaoUVzhxG3rtiDz/eyypYcl93nqM+ZMwd1dXV46qmnUF1djZEjR2L9+vW2BnOlpaWQyX65X1BZWYnU1FTbv19++WW8/PLLuOiii7B582YAQHl5OebNm4eGhgYEBwdj0qRJ2LlzJ4KDg+39cYiIiCTXk6gPcMBEfWycdUT9YHkLuoxmaJSOU5pPRM7hi+xy/HC0Biq5DG//aQzCfDV9st/EEB98dc9EPPa/g/hqfwX+/MVBVDV34f7piZy3Tg5HEEVRlDqI/qbT6eDr64uWlhaWwRMRkdMZ9/cfUduqx5f3TMCoGH+pw+lFFEWM/Xsm6tv0WH1Xui1xJyI6G43tBkx7ZTOaO4x4bGYy7p46oM+PIYoiXtyQh7c2FwAA5o2Lxt9nD4dMxmSd7Otc8lC7l74TERFR39F1GVHbal1y1BFL3wVBwNju8ncu00ZE5+qlDcfQ3GFEcpgPFk6Ot8sxBEHAYzOT8dzVQyETgM92l+GFDee/dDSRPTBRJyIiciIF3WXvIT7qk9YPdhRjukfR97KhHBGdg9KGDny+txwA8NzsYVDI7Zuq/Ck9Dq/8MQUA8J8thfgmp8KuxyM6F0zUiYiInIhtfroDdnzvMfZXDeUsFrebYUdE5+nNTSdgtoi4aGBwv02buSY1CvdNSwQA/OXrw6hs7uyX4xL9HibqRERETqRnaTZHLHvvMSRcC0+VHLouE05031ggIjqTGl0XvtxnHdF+ICOpX4/9wPQkjIz2Q2uXCU98dQhu2MKLHBATdSIiIidS4MBLs/VQyGW2JndZBfUSR0NEzuC/O0tgsogYG+ff700yFXIZXr4+BSq5DJvz6vD9oep+PT7RqTBRJyIiciKOvIb6r00ZGAQA+DG3VuJIiMjR6U1m/HdXKQDglgn2aSD3exJDvG0d5v++9ii6jGZJ4iDqwUSdiIjISXQZzSht7ADg+In6JUPCAAA7CxvQ0mGUOBoicmRrDlShod2AcF8NLh0aKlkcd08dgHBfDSpbumw3DoikwkSdiIjISeTXtsEiAr4eSoT4qKUO54zig7wwMNQbJouITXkcVSeiUxNFESt2FAMAbhwfC6WdO72fiUYpx/3TrfPj/70pH216k2SxEDFRJyIichJ51a0AgEFhPhAEQeJoft+l3aPqPxzlfE8iOrXskiYcqmiBSiHDvHExUoeDP4yOQnyQFxraDXh/W5HU4ZAbY6JORETkJPJqrIl6cpiPxJGcnZ4S1s15dZzvSUSn9O7P1mR49sgIBHipJI4GUMpleOiSgQCAd7YWoqndIHFE5K6YqBMRETmJY78aUXcGwyN9EabVoMNgxg52fyei3yhpaMeG7oqb2ycnSBzNL64YHo7B4Vq06k1YvqVA6nDITTFRJyIichJ51ToAzjOiLgiCbVT9hyM1EkdDRI7mg+3FEEVgysBgDAx1nN9rMpmAR2dYR9VX7ChGdUuXxBGRO1JIHQARkbsxW0QU1bfjeE0rjlbqcKC8GfVtBrR2GeGtVuCKEeG4dVI8PFX8FU2/aO4woEanBwCHuqD9PZcOCcNHWSVYf6Qaz149FGqFXOqQiMgBtHQY8fneMgDAwsnSLMl2JhcPCsGYWH/sLWnCf7YW4Okrh0odErkZXgUSEfWj9YersXRdLkoaOk67zbHqVnx/qBrv3jwGEX4e/RgdObKesvdIPw/4aJQSR3P20gcEIkyrQbWuC5m5tbhseLjUIRGRA/jv7hJ0GMxIDvPBpMQgqcM5iSAIuH96Em56fzdW7i7DfdOSHGIOPbkPlr4TEfWT/+4qwV2fZKOkoQMeSjlSonzxxzFR+Ps1w/DhrePw5T0T8NIfRiDQS4WjVTpcvzwLpWdI6Mm99HR8d5ay9x5ymYBrR0UCAFZ3j54RkXszmCz4sHtJttsmxTvsKhaTk4IwNEKLTqPZtoQcUX9hok5E1A++PVCJv3x9GABwc3os9v4lA98smoQX/5CC+WmxuGhgMEbF+OP6MdH4ZtFExAd5oaK5E/Pf24lGdpwlOF8juV+7fkw0AGDL8TrO9SQirDlYiRqdHsE+alw1MkLqcE5LEATcMzURAPDhjmK0c1116kdM1ImI7OznE3VYvCoHogjcOD4Gz1w1FF7q0888ivL3xKo7xiM6wANljZ24+5NsGEyWfoyYHFFPIzlnTNTjg7wwLi4AFhH4375yqcMhIgmJooh3updku2VCnMP3rZg5LAzxQV5o6TTis92lUodDboSJOhGRHVU2d+L+z/bDZBFxVUoE/nrVsLMq8QvRavDezWPhpZJjV1Ejnv72CERR7IeIyRGJoojjNW0AgOQwrcTRnJ8/jIkCAHyRXc6fZSI3llXQgNwqHTyUcsxPi5E6nN8llwm4c4p16bh3fi6E3mSWOCJyF0zUiYjsRBRFPLL6AJo6jBge6YuXrh8Bmezs5+ENDPXB6/NSIQjAZ7tL8cZP+XaMlhxZeVMn2vQmKOUCEoK9pA7nvFw+PByeKjmK6tuxr7RJ6nCISCLv/FwIAPjD6Cj4eTpHc7ZrRkUiVKtGjU6Pr/dXSB0OuQkm6kREdrLhSA12FDRArZDhzRtSz6u8b/rgUDx5+RAAwKsbj+O9bUV9HSY5gZ5GcgOCvaGUO+efbi+1AjOHhgEAvjtQJXE0RCSF/NpWbMqrgyBYm8g5C7VCjtsnWUfVl28phNnCqiCyP+f8a09E5OBMZgueX5cLAFg4OQGxgec/CnrrpHg8lDEQAPDcmqNYtYdz5NxNXo01UXem9dNP5coUa9OotYeqeKFL5Ibe7Z6bfsngUMQFOVd10Ly0GPh6KFFU344NR6qlDofcABN1IiI7+O5gJYobOhDgpcLdUwdc8P7un56IO7rnyD3+5SF8e6DygvdJziPPiTu+/9rExCD4eihR16rHrsIGqcMhon5U36bHl91l47dPTpA4mnPnrVbg5vRYAMC/N+ez1wbZHRN1IqI+ZrGI+PemAgDW0r4zdXg/W4IgYMmsZMxPi4EoAo98fgB7ixsveL/kHJx1DfXfUilkuGy4tfz9sz1cU53InXycVQKDyYKUKF+MjfOXOpzzcsvEeGiUMhyu0GFbfr3U4ZCLY6JORNTHtuXX40RtG3w0Cvyp++57XxAEAc9dPQwzh4bBYLbgzo+zUaPjmtSuzmCyoKDO2vHd2UfUAeDG8dbvxPeHqlDV0ilxNETUH7qMZny8swSAdTT9bFY/cUQBXirMHWvtVN9zQ57IXvolUV+2bBni4uKg0WiQlpaG3bt3n3bbI0eO4LrrrkNcXBwEQcBrr712wfskIupPn++1jhRemxoJrUbZp/uWyQS8OicFg8O1aGg34P7P9nOur4srrG+DySLCR61ApJ+H1OFcsKERvhifEACzRcRHWSVSh0NE/eCr/RVobDcg0s8Ds4aFSR3OBVk4JQEKmYCswgbs5woWZEd2T9RXrVqFxYsX4+mnn8a+ffuQkpKCGTNmoLa29pTbd3R0ICEhAc8//zzCwk79RT7XfRIR9ZeWDiN+OFoDALh+TLRdjuGpUmDZDam2NdZfzzxhl+OQY+gpex8Y5uO0o1C/detEa7fnT3eVosNgkjgaIrIni0XEO1utS7ItmBgHhZOuXNEj0s8Ds1MjAQD//JF/f8l+7P5NefXVV7Fw4UIsWLAAQ4YMwfLly+Hp6Yn333//lNuPHTsWL730EubOnQu1Wt0n+yQi6i9rD1XBYLIgOcwHQyO0djtOQrA3/n7NcADA6z+dwA7OlXNZx1ykkdyvTR8cipgAT7R0GvHlPq5JTOTKNubWoLC+HT4aBeaOi5E6nD5x/7QkKGQCth6vw042xiQ7sWuibjAYkJ2djYyMjF8OKJMhIyMDWVlZDrNPIqK+su6wdX3oq0ZG2H30c3ZqJP44JgqiCDywKgf1bXq7Ho+k4SqN5H5NLhNwy4Q4AMAH24tg4fQNIpckiiKWb7HO5f7T+Fh490FzVUcQE+iJueOsVXMvb8hjB3iyC7sm6vX19TCbzQgNDe31fGhoKKqrz2/9wfPZp16vh06n6/UgIuprLR1GZBVY76zPHNo/c/CeuWookkK8Udeqx/99dahfjkn9y7Y0m5Ovof5b14+JgrdagYK6dmw9USd1OERkB3tLmrC/tBkqhQy3TIyTOpw+df+0JGiUMuwtacKmPE6/pb7n3JNEztLSpUvh6+tre0RH22feKBG5t8xjNTBZRAwK9UFCsHe/HNNTpcAbN6RCLhOw4UgNS+BdjK7LiIpma2f05DD7TaWQgo9GiTljrX+P399eLG0wRGQXyzdbR9OvGxWFEB+NxNH0rRCtBjd3Vwa9vOE4R9Wpz9k1UQ8KCoJcLkdNTU2v52tqak7bKM4e+1yyZAlaWlpsj7Iyrt1KRH1v/WFrVc+Mfu5omxymxY1p1nl/z63N5cWCCznePZoeptXA17NvVxBwBLdMiINMALYer0NRfbvU4RBRHzpe04rMY7UQBGDh5Hipw7GLuy8aAG+1AkerdPgxl6Pq1LfsmqirVCqMHj0amZmZtucsFgsyMzORnp7eb/tUq9XQarW9HkREfanDYMKW49by3f4qe/+1BzMGwlutQG6VjiV4LsQVG8n9WnSAJyYnBQMAvtxXLnE0RNSX3u7u9D5jSFi/VZn1Nz9PFf6UHgsAePOnE7xRTn3K7qXvixcvxjvvvIMPP/wQubm5uPvuu9He3o4FCxYAAG666SYsWbLEtr3BYEBOTg5ycnJgMBhQUVGBnJwc5Ofnn/U+iYj625a8OuhNFsQEeGJweP8nVf5eKszvHlX/96aCfj8+2YcrNpL7rT+MjgIA/C+7nE3liFxEVUsnvsmxruhw50UJEkdjX7dPioeHUo4D5S3YeoLTz6jv2L314pw5c1BXV4ennnoK1dXVGDlyJNavX29rBldaWgqZ7Jf7BZWVlUhNTbX9++WXX8bLL7+Miy66CJs3bz6rfRIR9bf1R6xl7zOHhUm21vVtk+Lxwfbi7uY9TUiN8ZckDuo7eS4+og4AlwwJhY9GgcqWLmQVNmBiYpDUIRHRBfrPlkIYzSLS4gNc/m9RoLca89Ni8O62IryReQJTkoIkuw4g19IvzeQWLVqEkpIS6PV67Nq1C2lpabbXNm/ejBUrVtj+HRcXB1EUT3r0JOlns08iov6kN5nxU/fctBkSlL33CNFqcEVKOADg46wSyeKgviGKIo5VW1cpceVEXaOU46qUCADAF9ksfydydrWtXfhsdykA4L5pSRJH0z/umJIAlcLaAT6L66pTH3GLru9ERPa0o6ABrXoTQnzUSI32kzSWm9PjAABrDlZxXXUnV63rgq7LBLlMQGKIa87v7NFT/r7ucBVau4wSR0NEF+Ldn4ugN1kwMtoPExMDpQ6nX4RoNZjXvYrFG5n5v7M10dlhok5EdIE29HR7HxoGmUzacreUaD+kRPnCYLbg6/0VksZCF6ankVx8kBfUCrnE0djXyGg/DAj2QpfRgnWHqqUOh4jOU2O7AZ/stFZ03T890a1KwO+8aACUcgFZhQ3YW9wodTjkApioExFdAJPZgo1HrctFzuznZdlO5w9jrHf1v2Ki7tTcYX56D0EQcF33qDrL34mc1/vbitBhMGNohBYXDwqROpx+FeHnYasOev0njqrThWOiTkR0AXYUNKCh3QB/TyXGxQdIHQ4A4Irh4VDIBByp1OF4TavU4dB56llDPTnU9RN1ALg2NQoyAdhd3IhirqlO5HRaOo34cEcxAOC+ae41mt7j7osSIZcJ2Hq8DjllzVKHQ06OiToR0QX49kAlAODyEeFQyh3jV6q/lwpTu0cyWP7uvFx9DfXfCvPVYBLXVCdyWiu2F6NVb8LAUG9cOsQxKsz6W0ygJ2aPjARgXVed6EI4xlUlEZET6jKasb57fvpVKZESR9PbNanWeL7JqeTa1E7IZLYgv64NAJAcppU4mv5jW1N9XwV/bomcSEuHEe9tKwQA3HtxouT9WqR078UDIBOAH3NrcaSyRepwyIkxUSciOk+bjtWiTW9ChK8GY2Ida53Y6YND4KNWoKK5E7vZ1MbpFDe0w2CywFMlR5S/h9Th9JtLu9dUr2juxE4ucUTkNN7aUgBdl3U0/YoREVKHI6mE4F/+P1i2iXPV6fwxUSciOk89Ze9XjoxwuNEDjVKOy4Zb11Rn+bvz6Sl7Hxjq43A/W/akUcpxJddUJ3Iq1S1d+GB7EQDgzzOSIXej31mns2haIgBg3eFqnGCvGDpPTNSJiM6DrsuIzGO1AICrUhxz9GB2d/n72kNV6DKaJY6GzkVPx/dkN5mf/ms95e9rD1WhoU0vcTRE9Hv+lXkcepMFY2L9MX2we3V6P52BoT6YOTQMogi8yVF1Ok9M1ImIzsOGw9UwmCxIDPHGkHDHnEOcFh+AcF8NWrtM2NR9U4Gcg7s1kvu11Gg/jIjyhd5kwYdZJVKHQ0RnUFDXhs/3WqtfHpuV7Jad3k+nZ1T9uwOVKGngShZ07pioExGdh56y96tTIhz2wkQmE3B1d/fZL1n+7lTcaQ313xIEAXdOGQAA+CirGB0Gk8QREdHpvPJDHswWEdOTQzA2zjGWKHUUwyJ9MXVQMCwi8MH2YqnDISfERJ2I6BzVteqxPb8eAGzzaR1VT/f3zXm1aOk0ShwNnY12vQmljR0A3Kvj+6/NHBaGmABPNHcY8fmeMqnDIaJTOFDWjO8PVUMQgEdnDpI6HIe0cHICAODzvWVo6eDfYDo3TNSJiM7R2oOVsIhASrQf4oK8pA7njAaF+SAxxBtGs4ifjtVIHQ6dhePdjYeCfdQI8FJJHI005DIBC6dYL3Df+bkIJrNF4oiI6NdEUcQL648BsN4Qdtebir9nwoBAJIf5oMNgxmd7SqUOh5wME3UionP067J3Z3DZsDAAwPeHqiWOhM6GOzeS+7XrR0ch0EuFiuZOrDlYJXU4RPQrP5+ox46CBqjkMjyUMVDqcByWIAi4vXtUfcX2Yhh505HOARN1IqJzUNrQgX2lzZAJwBUjwqUO56zMHGaNc+vxOrTrOd/X0dkayYW6d6KuUcqxYGIcAGvXZLNFlDYgIgIAWCwiXtxgHU2fPz4G0QGeEkfk2K5MCUewjxrVui6s5U1HOgdM1ImIzsF3B62j6ekDAhGi1UgczdkZHO6DuEBP6E0WbMpj93dH586N5H7rpglx0GoUyK9tw7rDvMAlcgRrD1XhcIUO3moFFl2cKHU4Dk+tkOPm9FgAwLvbCiGKvOlIZ4eJOhHRWRJFEd/kWLunX50SKXE0Z08QBNuo+jqWvzs0URRxrFoHwH0byf2aVqPELRPiAACf7ORSbURSM5oteOWHPADWRmmB3mqJI3ION6TFQqOU4XCFDruKGqUOh5wEE3UiorOUW9WK4zVtUMllmNE979tZXDbcGu+mvFp0GswSR0OnU9eqR1OHETIBSAr1ljochzBnXAwEAdhZ2Iiy7m74RCSNlXvKUNzQgUAvFW6bHC91OE4jwEuF60ZFAQDe/blI4mjIWTBRJyI6Sz2j6dOSQ+DroZQ4mnMzPNIXkX4e6DCYseV4ndTh0Gn0zE+PC/KCRimXOBrHEOnngYkDggAA/9tXLnE0RO6rw2DC65knAAD3TUuEt1ohcUTO5dZJ1hsbmcdqUFjXJnE05AyYqBMRnQWLRbR1e5+d6hzd3n9NEATM6q4CWM+5vg6LHd9P7brR1qkmPd9BIup/y7cUoq5Vj+gAD9yQFit1OE5nQLA3pieHQBSBD7YXSx0OOQEm6kREZ2FXUSOqWrqg1SgwdVCI1OGcl1nd5e+ZubXQm1j+7oh+6fjO+em/Ni05FAqZgMK6dpQ0tEsdDpHbqWrpxNtbCwAAS2YNhkrBFOJ89EwXWJ1dhqZ2g8TRkKPjt4yI6Cx8vd9a9n7Z8HCnLUlOjfZHqFaNVr0J2/PrpQ6HTqGnkRw7vvfm66HE2LgAAMBPx7hyAVF/e3F9HrqMFoyLC7BVZ9G5S08IxNAILbqMFny6u1TqcMjBMVEnIvodXUYzvu8uF796pPN0e/8tmUzAzKHWCyx2f3c8JrMFJ2qt8xYHhzNR/63pg62VLEzUifpXTlkzvuq+Wf2XKwZDEASJI3JegiDg9u5R9RU7ilndRmfERJ2I6HdszqtFa5cJ4b4apMUHSB3OBelZpu2HozUwmi0SR0O/VtzQAYPJAk+VHNH+nlKH43AuTrYm6jsLG9CuN0kcDZF7EEURf1tzFABw7ahIjIjykzYgF3DFiAiEaTWoa9Vj/WHeNKfTY6JORPQ7vt5vbWB11cgIyGTOPZIwLj4AgV4qtHQasbOwQepw6Fd6Gsklhfo4/c+ZPSQEeSHK3wNGs4jdXIeYqF+sPVSFvSVN8FDK8ecZyVKH4xKUchnmjI0GAHy6i+XvdHr9kqgvW7YMcXFx0Gg0SEtLw+7du8+4/erVq5GcnAyNRoPhw4fj+++/7/X6LbfcAkEQej1mzpxpz49ARG6qpdNoK7Wd7cRl7z3kMgGXdpe/f8/yd4eS1z0/PTmUZe+nIggCJidZl2n7+QR7LBDZW5fRjOfXHQMA3HlRAsJ8NRJH5DrmjouGTLA2qs2v5VJtdGp2T9RXrVqFxYsX4+mnn8a+ffuQkpKCGTNmoLb21HPMduzYgXnz5uG2227D/v37MXv2bMyePRuHDx/utd3MmTNRVVVle3z22Wf2/ihE5IbWHaqCwWzBoFAfDA53jU7clw+3lr9/f6gKXUbOj3MUR6u6O76zkdxpTUoMBgBsy6+TOBIi1/f+9iKUN3UiTKvBHVMSpA7HpYT7emBa93Se/+0rlzgaclR2T9RfffVVLFy4EAsWLMCQIUOwfPlyeHp64v333z/l9v/6178wc+ZMPProoxg8eDCee+45jBo1Cm+++Wav7dRqNcLCwmwPf39/e38UInJDK/eUAQCuGeX8o+k90gcEItLPAy2dRmw4wlF1R3G4ogUAMDzKV+JIHNeEAYEQBOB4TRtqdF1Sh0Pksupa9fj3JutybH+eOQieKoXEEbmea1KjAADf5lTCYhEljoYckV0TdYPBgOzsbGRkZPxyQJkMGRkZyMrKOuV7srKyem0PADNmzDhp+82bNyMkJASDBg3C3XffjYaG08+11Ov10Ol0vR5ERL8nt0qHnLJmKGQCrhsVJXU4fUYuE3D9GOvnWdV9I4KkVavrQrWuCzIBGOIilRv24O+lwtAI6/8/nKdOZD+vbsxDm96EEVG+LjHtyxFNHxwCL5UcFc2d2FfaJHU45IDsmqjX19fDbDYjNDS01/OhoaGorj71KE51dfXvbj9z5kx89NFHyMzMxAsvvIAtW7Zg1qxZMJtPXcK5dOlS+Pr62h7R0dEX+MmIyB2s7F7j9NKhoQj2UUscTd+6fkw0BAHYUdCAkoZ2qcNxewfLraPpiSHe8FJz5OpMxsRaV17YW8xEncgecqt0tpu4T14xhM0t7USjlGNG95r03+RUShwNOSKn7Po+d+5cXHXVVRg+fDhmz56NNWvWYM+ePdi8efMpt1+yZAlaWlpsj7IyjiAR0Zl1Gc22dWPnjo2ROJq+F+nngSlJ1vm+HFWX3sGesvdIP2kDcQJj46yJ+p5ijkAR9TVRFPG3tUdhEa39THq+b2QfV3dXK6w9VMUlU+kkdk3Ug4KCIJfLUVNT0+v5mpoahIWFnfI9YWFh57Q9ACQkJCAoKAj5+fmnfF2tVkOr1fZ6EBGdyfeHqqDrMiHK3wOTEoOkDscu5nYvD7M6uxwmXiBI6lB5MwAgJZrz03/PmDhrT5pj1Tq0dhkljobItWTm1mJ7fgNUchken8Xl2Oxt4oBABHqp0NhuwLZ8rmZBvdk1UVepVBg9ejQyMzNtz1ksFmRmZiI9Pf2U70lPT++1PQBs3LjxtNsDQHl5ORoaGhAeHt43gROR2/usu+x97tholy37mz44FEHeKtS16m1L0FH/E0URh2wj6kzUf0+oVoOYAE9YRGB/abPU4RC5DIPJgn98nwsAWDApDtEBnhJH5PoUchmuGGHNX77pruIj6mH30vfFixfjnXfewYcffojc3FzcfffdaG9vx4IFCwAAN910E5YsWWLb/oEHHsD69evxyiuv4NixY3jmmWewd+9eLFq0CADQ1taGRx99FDt37kRxcTEyMzNx9dVXIzExETNmzLD3xyEiN5Bf24o9xU3dTddct6eFSiGzNclbyfJ3yVS1dKG+zQCFTHCZJQDtrWdUnfPUifrOJztLUFjfjkAvFRZdnCh1OG7jqpERAIAfc2uhN3HJVPqF3RP1OXPm4OWXX8ZTTz2FkSNHIicnB+vXr7c1jCstLUVVVZVt+wkTJuDTTz/F22+/jZSUFHzxxRf4+uuvMWzYMACAXC7HwYMHcdVVV2HgwIG47bbbMHr0aPz8889Qq12r2RMRSeOz3dakdVpyCEK1Gomjsa853eXvm/NqUdXSKXE07qmnkdzAUB9olHKJo3EOnKdO1LeaOwz4V+YJAMDiSwfCR6OUOCL3kRrtjyBvNdr0Juws5M1H+kW/tJZdtGiRbUT8t07VAO7666/H9ddff8rtPTw8sGHDhr4Mj4jIpstoxpf7ygEA88a57mh6j4Rgb6TFB2BXUSNW7y3H/dOTpA7J7RyqaAYAjOD66WdtbPeI+v6yJhjNFijlTtkbl8hhvPbjCbR0GjEo1AdzXLiSzBHJZAIuGRKCz3aXYePRalw0MFjqkMhB8C8bEdGvfHugEk0dRkT4anDRwBCpw+kXc7tvSKzaUwaLRZQ4GvfTM6I+nIn6WRsQ7A1/TyW6jBYcqdRJHQ6RUyuoa8MnO0sAAH+5YjAUvPHV7y4dYm2a/ePRWv4dJht+E4mIuomiiPe3FQEAbp4QB7mLNpH7rVnDwqHVKFDR3Imf2XW2X/26kdwILs121gRBwGiup07UJ/6xNhcmi4hpySGYnMTRXCmkDwiEp0qOal2X7W8CERN1IqJuOwoacKy6FR5KuUuunX46GqUc13Y3lVu1p1TiaNxLWWMnmjuMUMllGBjmLXU4TqWnodweJupE523biXpkHquFQibgicsGSx2O29Io5Zg6yHqTZOPRmt/ZmtwFE3Uiom49o+nXj4mCr6d7NdLpaSq38WgN6tv0EkfjPg52z09PDveBWsFGcudidKw1Ud9X2gxRZKko0bkyW0T8be1RAMCN42ORGMKbhVK6ZIi10TYTderBRJ2ICEBhXRsyj9VCEIAFE+OlDqffDQ7XIiXaD0aziP9ll0sdjts4VM7108/X8EhfKOUC6lr1KG/iigVE5+qL7DIcq26FVqPAA2wkKrmLB4VALhOQV9OKkoZ2qcMhB8BEnYgIwPItBQCA6ckhiA/ykjgaacwb+0tTOY5Q9o+eRnLs+H7uNEo5hkZY/3/bV8pl2ojORYfBhFd+OA4AuH96Evy9VBJHRH6eKqTFW3tvcFSdACbqRETIr23DF92jyPdcnChxNNK5IiUCnio5CuvbsbuI837tzWIRcbinkVyUn7TBOKme8vfsEibqROfi3Z+LUNuqR3SAB/6UHit1ONStp/z9BybqBCbqRER45Yc8WETrH8hRMf5ShyMZb7UCV6VEAABW7imTOBrXV9zQjla9CWqFDEmcG3peer6vTNSJzl5dqx7/6a4ie3RGMvtjOJCeRH1vcSMa2w0SR0NSY6JORG7tQFkz1h2uhiAAj84YJHU4kps7ztrt/vtDVWjpMEocjWvbX9oMABgaoeW6xeepZ8rA8ZpWGEwWiaMhcg6v/Xgc7QYzUqJ8ceWIcKnDoV+J8vfEkHAtLCKQmctRdXfHKwMicmsvbcgDAFybGoWBoT4SRyO9lChfJIf5QG+y4OucCqnDcWk9y4qNjQuQOBLnFeXvAV8PJYxmEcdrWqUOh8jh5de22SqmnrhsMARBkDgi+q2MwSEAgC3H6ySOhKTGRJ2I3Nb2/Hpsy6+HUi7gwQx2vAUAQRAwt7up3Ge7S9lUzo52M1G/YIIgYGiEFgBwpLJF4miIHN/z647BbBGRMTgUaQmBUodDpzBloHU99W359TBb+DfYnTFRJyK3JIoiXlx/DAAwPy0W0QGeEkfkOK5JjYJaIcOx6lYcKGfyYw/1bXoU1lmX3xkT5759EfrCsO6l7Y5U6iSOhMix7Siox4+5NZDLBDw+i1O9HFVKtB981Ao0dxhxqIJ/g90ZE3UicksbjlTjQHkLPFVyLJrmvp3eT8XXU4nLhlvnLa7cXSpxNK5pb/do+qBQH/h5clmkC9Ezon6YF7REp2W2iHhuTS4AYH5aDBJDONXLUSnlMkxItFY7bGX5u1tjok5Ebsdkttjmpt8+KR5B3mqJI3I8c7rL3789UIk2vUniaFzP7iJrl/Kx8RxNv1A9a6nnVrWyTJToNP6XXY7cKh18NAo8mDFQ6nDod/SUv/98gom6O2OiTkRu58v9FSioa4e/pxK3T0mQOhyHlBYfgIQgL3QYzFhzoFLqcFwOG8n1nfggL3go5eg0mlFU3yZ1OEQOp01vwks/WG9O3z8tCQFerOJxdFOSrIn6vtJm6Lq4Aou7YqJORG6ly2jGaxuPAwDuvTgRWo1S4ogckyAItlH1z7imep9q05tsjc/GxTNRv1BymYAhtoZynKdO9FvLNxegrlWP2EBP3DQhVupw6CxEB3giIcgLZouIHfkNUodDEmGiTkRu5ZOdJahs6UK4rwY3jucFy5lcNzoKCpmAA2XNyK1iAtRX9pU0wSJalxYL9/WQOhyXwHnqRKdW0dyJd34uBAAsmTUYaoVc4ojobE1OCgIAbGX5u9tiok5EbqO1y4h/by4AADyYkQSNkhcsZxLkrcYlQ0IBAKs4qt5nesrex7Hsvc8Mi2Dnd6JT+duao9CbLEiLD8CMoaFSh0PnoGeeOhvKuS8m6kTkNt79uQiN7QYkBHvhulFRUofjFHrK37/JqYDBZJE4GteQVWAtYxzLsvc+M+RXI+qiyIZyRACwKa8W6w5XQy4T8MxVQyEIgtQh0TkYnxAIhUxAeVMnShrapQ6HJKCQOgCi/mA0W3CkUofdRQ0oqu9AU7sBrXojVHIZPFRyaJRyBHqpkBTig6RQbwwO13K01cXUt+nxbnf53yOXDoJCzvuUZ2NSYhCCfdSoa9Vjy/E62wg7nZ/mDgP2lVo7vveUNdKFGxjqA6VcgK7LhPKmTkQHeEodEpGkuoxmPP3NEQDAgglxGByulTgiOldeagVGxfhjd3EjtuXXIzbQS+qQqJ8xUSeX1GU040BZM3YXNWJ3cSOyS5rQYTCf9fvlMgHJYT5IifbDyCg/pMb4ITHEm3ejndiyTfloN5gxPNIXs4aFSR2O01DIZbg6JQLvbivCl/vKmahfoC3H62ARgYGh3ojyZzLZV1QKGQaF+eBwhQ6HK1qYqJPbW7YpH6WNHQjTavDgJVyOzVlNSgrC7uJGbM+vx/w09tVxN0zUySV0GEzILmnC7qJG7CpqRE5Z80llur4eSoyLD8CQcC2CvFXw0ShhMFvQZTSjw2BGja4L+bVtyK1qRX2bHkcqdThSqcOnu0oBALGBnpg1LBzXpEZiUJiPFB+TzlNJQzv+u9N6Hh+bmcwbLufo2lFReHdbETJza9HSYYSvJzvln6/Neda5hhcnh0gciesZFuGLwxU6HKpowazh4VKHQySZgro2LN9i7cfy9JVD4K3m5b6zmpgYhFc3Hsf2/AaYLSLkMl6/uBN+c8kpVbV0Yn9pM3K6R80PV7TAZOk9LzHIW420+ACkJQRgXHwABob4QHYWv+BEUURVSxcOlDUjp7wZB8qasb+0GSUNHVi+pQDLtxRgXHwAbkqPxYyhYVCyhNrh/X1tLgxmCyYnBWESy43P2ZAILZLDfHCsuhVrD1XhhrQYqUNySkazBZvzagEAFw9iot7XhkX6AnvKcIid38mNiaKIJ78+DKNZxNRBwZjJCjKnlhLlCx+1Ai2dRhypbMGIKD+pQ6J+xESdHF5Dmx55Na04VN6C/aXN2F/WhBqd/qTtInw1SEsIRFq8NTGPD/I6r5FTQRAQ4eeBCD8P26hMu96ETXm1+DanEpnHaq0l9UWNCPFR44a0GNyQFoMQH80Ff1bqezvy6/HD0RrIZQKeumKI1OE4rWtHReIf3x/Dl/vKmaifpx0FDWjqMCLQS4Uxsf5Sh+NyhkdaO7/3NJRj5Qy5o9V7y7GjoAFqhQx/vWoYvwdOTiGXYfyAQGw8WoOfT9QzUXcz/ZKoL1u2DC+99BKqq6uRkpKCN954A+PGjTvt9qtXr8aTTz6J4uJiJCUl4YUXXsBll11me10URTz99NN455130NzcjIkTJ+Ktt95CUlJSf3wcspOWDiOO17bieE0rjle34nhNG47XtKKh3XDStnKZgEGhPkiN8cOoGH+kJQTYdb6nl1qBK0ZE4IoREahq6cSnu0rx2e4y1Lbq8dqPJ7BsUz5mDQvHzRPiMCrGj38YHYTZIuKva44CAG5Mi0FSKKcsnK+rR0bi+XXHsLekCUX17YgPYlObc7XmQCUAYNbwMDYztINBYT5QyAQ0dRhR0dzJHgDkdqpbuvDcWuvfvMWXDERMIL8DrmBSYhA2Hq3B9vx63HtxotThUD+ye6K+atUqLF68GMuXL0daWhpee+01zJgxA3l5eQgJObn0b8eOHZg3bx6WLl2KK664Ap9++ilmz56Nffv2YdiwYQCAF198Ea+//jo+/PBDxMfH48knn8SMGTNw9OhRaDQc1XR0je0GFNS1oaC2DSdqrcn48ZrWU46S94gJ8MSQcC1SY/wwMtoPw6N84amSpiAk3NcDD186CPdNS8K6w1X4cEcx9pU249sDlfj2QCVGRPninqmJuHRI6FmV2pP9rNxTimPVrfD1UOLBDDbTuRChWg0uGhiMTXl1WLWnDI/PSpY6JKeiN5mx/kg1AOCKERESR+OaNEo5Bob64GiVtaEcE3VyJ6Io4omvDqG1y4SUaD/cPjlB6pCoj0xMtE7Z21vchE6DGR4qrkrkLgTRzguOpqWlYezYsXjzzTcBABaLBdHR0bjvvvvw+OOPn7T9nDlz0N7ejjVr1tieGz9+PEaOHInly5dDFEVERETg4YcfxiOPPAIAaGlpQWhoKFasWIG5c+f+bkw6nQ6+vr5oaWmBVsvlKuzBbBFR1thhTcjr2lBQ227776YO42nfF+GrwcAwHwwM9UFSiDcGhfkgMcRbsqT8bB0qb8GHWcX49kClrYldcpgPFk1LxKxh4Wz+IYGWTiMufnkzGtsNeObKIbhlYrzUITm9DUeqcefH2QjyVmHH49OhUnBU+Gz9eLQGt3+0F6FaNXY8Pp2/E+zksS8OYtXeMtx78QA8OoM3k8h9fLW/HA+tOgCVXIY190/CQFaQuQxRFDHh+Z9Q1dKFj24dhykDg6UOiS7AueShds1+DAYDsrOzsWTJEttzMpkMGRkZyMrKOuV7srKysHjx4l7PzZgxA19//TUAoKioCNXV1cjIyLC97uvri7S0NGRlZZ0yUdfr9dDrfxmt1el0F/Kx6Ffa9SYU1v2ShPck5UX17TCYLad9X6SfBxKCvZAY4o1BoT5ICrWuX67VOGc36eFRvnj5+hQsmZWMD7YXY8WOYhyrbsWiT/cjMeQEHpiehCtGhLMkvh+9kXkCje0GJIZ4Y/54LmnSF6Ylh9jWVM/MrWFn7XOw5qC17P2y4bxxZ0/Donyxam8ZDlXw7zy5j9rWLjzzrbXk/f7piUzSXYwgCJiYGIQvssuxPb+eibobsWuiXl9fD7PZjNDQ3uvuhoaG4tixY6d8T3V19Sm3r66utr3e89zptvmtpUuX4tlnnz2vz+DOzBYRTR0G1LfpUavTo7K5ExU9j6ZOlDZ2oKql67TvVytkSAj2xoBgLwwI9saAEOt/xwd5OfwI+fkK9FbjkRmDsHByAj7YUYT3txUhv7YN9322H5/tLsXfZg9DQrC31GG6vMK6NqzYUQwA+Mvlg9mZv48o5TJcPzoK/95cgM/2lDFRP0tdRjM2Hq0BAFyZwrJ3e2JDOXI3oijiiS8Po6XTiKERWtx50QCpQyI7mJxkTdR/PlGPJb+/ObkI18yWfmPJkiW9Rul1Oh2io6MljOjs/Hi0BsUN7VApZAj0UiNUq4bWQwmNQg5/LyW81YqzuggRRRFdRgva9CZ0GEzd/2tGa5cR9W3WRLy+1YCGdj3q2/Ro6H6usd0Ay1lMjAjyVluT8RBva0LenZhH+nm47RxtX0/rnOhbJ8Xjg23F+PfmfOwoaMDM137G4ksHYuHkBI6q2dHf1+bCZBFx8aBgTOUyWH1qztho/HtzAX4+UYeyxg5EB3Ae8O/ZnFeLdoMZkX4eSI32kzocl5bc3VCusd2AypYuRPp5SB0SkV19sqsUP+bWQCWX4eXrU3hj2kVNGGCdp360SoeGNj0CvdUSR0T9wa6JelBQEORyOWpqano9X1NTg7CwU6/rGBYWdsbte/63pqYG4eHhvbYZOXLkKfepVquhVjvfD/QX2eW25kOnopLLoFbIoJALkMtkUMoFyAQBJosFJrMIg9kCo9kCg8lyVgn36fh7KhHso0Zk95Jlkf4eiPTzQJS/JxKDveHr6Zzl6v1Bq1HigYwkXJMaiSe/OYwtx+vw/Lpj2JxXi1f/OBIRvIjsc1uO1yHzWC0UMgH/dzmXY+trsYFemJgYiO35DVi9twyLLx0kdUgO74cj1r9ps4aFcYTXzjRKOZJCfZBbpcOh8hYm6uTS8qpb8bfulU0em5WMweHsu+Sqgn3USA7zwbHqVuwoaGB1lpuwa6KuUqkwevRoZGZmYvbs2QCszeQyMzOxaNGiU74nPT0dmZmZePDBB23Pbdy4Eenp6QCA+Ph4hIWFITMz05aY63Q67Nq1C3fffbc9P06/GxcfALVSBr3RgoZ2PWp0etuoeJfRAoPZcsZ54KfiqZLDS62AV/f/BnmrEeitQnD3/wZ5q3s95++l4t3ZPhAT6IkVC8bi871lePa7o9hZ2IiZr23F368Zzl+2fchotuCv3x0BANw8IQ6JIZxmYA9zx8Zge34DPt9bjvunJ3GpsTMwmS34Ka8WAHDJkNDf2Zr6wvBILXK7O7/PHHbqQQEiZ9dlNOP+z/ZDb7LgooHBWDAhTuqQyM4mJQbhWHUrtp2o57Wjm7B76fvixYtx8803Y8yYMRg3bhxee+01tLe3Y8GCBQCAm266CZGRkVi6dCkA4IEHHsBFF12EV155BZdffjlWrlyJvXv34u233wZgbajw4IMP4m9/+xuSkpJsy7NFRETYbga4ilsnnb5LdafBjMYOAwwmC0xmC4xmEWaLCJPFAqVcBpVCBqVcBoVMgFohg5daAQ+l3G1L0R2BIAiYMzYG4+ID8eCqHBwoa8Z9n+3HjoJ6PH3lUGiUXG7jQn2cVYKCunYEeqlw//QkqcNxWZcODYW/pxLVui5sOV6H6YOZgJ7OnuImNHcY4e+pxOhYf6nDcQvDI33x+d5yHKpokToUIrt5ft0x5NW0IshbhZevT+H1nRuYmBSEd7cVYVt+PXtwuAm7J+pz5sxBXV0dnnrqKVRXV2PkyJFYv369rRlcaWkpZLJfRmMmTJiATz/9FH/5y1/wxBNPICkpCV9//bVtDXUA+POf/4z29nbccccdaG5uxqRJk7B+/Xq3WkPdQyVHpIolfc4oPsgLX9yVjtczT+DNTfn4bHcZ9pc2480bRnEE+AI0tOnxzx+PAwAemTEIvh6ckmEvaoUcfxgdhXd+LsLKPWVM1M+gp4nctORQVh70k+FRfgDYUI5c1w9Hqm0NU1++PgXBPs43vZPOXVp8AJRyARXNnShp6EBckJfUIZGd2X0ddUfEddTJUWw7UY8HV+1HfZsBnio5/nHNcMxOjZQ6LKf0f18dwn93lWJIuBbf3TeJzfrs7HhNKy7951Yo5QL2/t8l7FVxCqIoYspLm1DW2InlN45mGXY/6TKaMezpDTBZRGx/fBrnqZNLKaxrw9Vvbker3oTbJ8XjL1ewF4s7mfOfLOwqasRzs4fhT1x61imdSx7K2/tEEpqUFITv75+M9IRAdBjMeHBVDh7/30F0Gc1Sh+ZUjlbq8NnuUgDAM1cNZZLeDwaG+iA5zAdGs4j1R6qkDsch5dW0oqyxE2qFDFMGBkkdjtvQKOW2daQPlbP8nVxHu96EOz/ORqvehHFxAXhsVrLUIVE/m5Ro/Vuy/US9xJFQf2CiTiSxEK0Gn9yehgemJ0EQgJV7yjB72Xbk17ZJHZrTeGH9MVhE4PIR4RgXHyB1OG6jp5nNtwcqJY7EMW3s7vY+KTEIniq3WA3VYfSsp36oolnaQIj6iMUi4pHVB3Citg0hPmq8OT+VzX7d0KQka6K+o6Ae5gtZ0omcAr/hRA5ALhPw0CUD8cltaQjyVuNYdSuuenMb/pddLnVoDi+roAFbjtdBIRPw5xlcKqw/XdWdqGcVNKC5wyBxNI5nY641UWe39/43PMqaqB/kiDq5iH98n4t1h6uhlAv49/xRCPFxn75M9Ivhkb7w0Sig6zKxYaYbYKJO5EAmJgbh+wcmYWKitRT+4dUH8NCqHLTpTVKH5pBEUcSLG44BAOaNi0FsIBur9KfoAE8kh/nAIlrXr6dfVLd04WB5CwQBbLYngRHdiXpPQzkiZ/bB9iK8u60IgLV53Jg4Vo65K4VchgkDAgEA2/NZ/u7qmKgTOZgQHw0+ujUNj1w6EHKZgK/2V+CK13/mXMtT2Hi0BvtLm+GhlOO+aYlSh+OWLk4OAQD8dKxW4kgcS89oemq0HzsyS2BQmA+UcgFNHUaUN3VKHQ7ReVt/uAp/XXMUAPDnmYNw9Ug2nHV3PfPUfz7BG+Sujok6kQOSywQsmpaEVXeMR6SfB4obOnDtW9vx7s+FHB3qZraIePmHPADArZPiEKJlGaAUpncn6pvz6mAyWySOxnH0LMt2yRB2epeCWiHHoDBrQ7nDLA8lJ7WnuBEPrMyBKAI3jo/B3RcNkDokcgATuxP1fSXNbD7s4pioEzmwMXEB+P7+yZgxNBRGs4i/rc3FrSv2oKFNL3Vokvt6fwWO17TB10OJO6bw4kUqqTH+8PNUoqXTiH2lzVKH4xBau4zIKrCWJHJ+unR6GsodZKJOTiinrBkLPtgDvcmC6ckheObKoRAErmhCQHyQF0J81DCYLdjPv7sujYk6kYPz9VRi+Y2j8dzsYVApZNiUV4dZ//oZOwsbpA5NMnqTGa9uPA4AuGfqAPh6cA1vqchlAqYODAbA8vceW47XwWgWkRDkhcQQb6nDcVvDI/0AcIk2cj5HKltw03u70KY3IT0hEMvmj4KCHd6pmyAISEuwzlPfVeS+14LugN96IicgCAL+ND4W39w7EYkh3qht1WP+u7vcthT+012lqGjuRKhWjZsnxEkdjtub1t0s7adjNRJH4hh+KXvnaLqUehrKHWJDOXIix2ta8af3dkPXZcKYWH+8e/MYaJRyqcMiB5PWvRStOw/auAMm6kROZHC4Ft8umohrUiNhtlhL4R9clYNOg/vMUWrTm/DmT/kAgAemD+QFjAO4KCkYcpmA4zVtKGvskDocSRnNFmzqrixgoi6tgaE+UMllaOk0oqyRDeXI8RXVt2P+u7vQ2G7AiChfvL9gLLzUCqnDIgc0PsGaqO8vbYbe5D7XgO6GiTqRk/FUKfDqH1Pw9JVDIJcJ+CanEtf8eztKG9wjQXrv5yI0tBsQH+SF68dESR0OwTo9Y3SsPwBgs5sv07a7qBG6LhMCvVRIjfGXOhy3plLIkBxubSjH9YbJ0ZU2dOCGd3airlWPweFafHTrOGg1nNZFpzYg2BtB3iroTRYcKOPvN1fFRJ3ICQmCgAUT4/Hp7WkI8lbhWHUrrnxzGzbnufYc4cZ2A975uRAA8PClA6HknD2HMbm7C+3OAvcuw+spe58+OARyGRs/SW2YraFcs7SBEJ1BcX075rydhaqWLiSGeOPj28bBz1MldVjkwARBQFp89zx1lr+7LF7lEjmxtIRAfHffJIyM9kNLpxELVuzBsk35sFhccz7m65kn0KY3YVikFpcNC5c6HPqV9AHWC4aswgaX/fn7PaIoclk2BzOiO1FnQzlyVIV1bZj79k5UtXQhKcQbny5MQ5C3WuqwyAmkdZe/72RDOZfFRJ3IyYX7emDVneMxb1wMRBF4aUMe7vokG61dRqlD61P5ta34eGcJAODxmYMh42ilQxkR5QdPlRyN7Qbk1bRKHY4kjlbpUNHcCY1ShkndFQYkreFsKEcOLL/WmqRX67owMNQbn90xHiE+GqnDIifRM6KeXdIEg8kicTRkD0zUiVyAWiHH0muH4/lrh0Mll+GHozWYvWw7Kppdp4HS39fmwmwRkTE4FJOSmAQ5GpVChrFx1rv7O9y0/H394WoAwOSkYHio2OTQEQwM9YFKIUNrlwklbtLHg5xDfm0r5r69E7WteiSH+eCzheM5kk7nJCnEG/6eSnQZLTjE6T0uiYk6kQuZOy4Gn9+VjjCtBgV17fjj8iwU1bdLHdYF25xXi015dVDKBfzf5YOlDodOY0JP+XtBvcSR9D9RFPHdgUoAwBUjOC3DUSjlMgwOszaUO1zJ8ndyDIfKWzD37Z2ob7Mm6Z8uHI9AJul0jmSyX+ap7yxslDgasgcm6kQuZmS0H768ZwISgrxQ0dyJ65dnIbdKJ3VY581otuBva3MBALdMiEN8kJfEEdHpTBhgrXTYVdgIk9m9yvAOV+hQ3NABjVKGjMFcls2RDA7XAoBT/x4k17EprxZz3s5CfZsBQyO0+GzheAR4sXEcnR/bPHU2lHNJTNSJXFCEnwc+vysdg8O1qG/TY85/srC/tEnqsM7Lp7tKkV/bhgAvFRZNS5I6HDqDIRFaaDUKtOpNOFzpXknRmoPW0fTpyaFc99jB/JKou2fvBHIMoiji46xi3P7hXnQYzJicFISVd4yHP5N0ugC/nqdudLMb5O6AiTqRiwryVmPlwvEYFeMHXZcJN723GwfLm6UO65w0tOnxzx+PAwAWXzIQvh5cU9aRyWUC0hKsFw073Kj83WIRseZgFQDgyhSWvTsajqiT1LqMZjy8+gCe/OYIzBYR16ZG4r2bx8KH66TTBUoO84GvhxIdBjMOV3B6j6thok7kwnw9lfj4tjSMiwtAq96EP723G0edaKTzqW+OoLnDiOQwH8wdGy11OHQWfpmn7j5lePvLmlDR3AkvlRxTB4VIHQ79RnK4dY56VUsXmjsMEkdD7qassQPXvbUDX+6rgFwm4P8uG4xX/pgClYKX4HThZDIB4+Kt5e+7ijhP3dXwtwSRi/NSK/D+grFIjbGutf6n93bhhBMsn7XmYCXWHqqCQibg5etToJDz15Uz6Jmnvqe40W2Wi/nugHU0/dKhYdAo2e3d0Wg1SkT5ewBg+Tv1r+8OVOLy13/GkUodAr1U+Pi2cVg4JQGCwOVFqe+kxXOeuqvilS+RG/BWK7BiwTgMi9Siod2A+e/uQkmD43aDr2vV48mvDwMA7r04EcMifSWOiM7WwFBvBHqp0GW0IKesWepw7M5iEbHusDVRZ7d3x8Xyd+pPzR0GPLByP+77bD90XSakRPvhu/sm2W5kEvWl8d1TzvYWN7ldI1dXx0SdyE34eijx8a1pSA7zQW2rHje/vxsNbXqpwzqJyWzBQ6ty0NRhxJBwLe69OFHqkOgcCIKA9AHuM0/9QHkzanR6eKnkmJTEi3BHxUSd+oMoivhyXzmmv7IF3+RUQi4TcP/0JHxxVzoi/DykDo9c1OBwLXw0CrTpTTjK33EuhYk6kRvx91Lho1vHIdLPA8UNHbj9o73oNJilDstGFEX8dc1RbMuvh6dKjn/OGcl5fE6oZ9RohxvMU99wpAYAMDU5BGoFy94dVc9a6rnVvIgl+6hs7sSN7+3C4s8PoKHdgKQQb3xxVzoWXzIQSk7dIjuSywSMjeuep8711F2KXX9zNDY2Yv78+dBqtfDz88Ntt92Gtra2M76nq6sL9957LwIDA+Ht7Y3rrrsONTU1vbYRBOGkx8qVK+35UYhcRohWgw9vHQtfDyX2lzbj/pX7YbaIUocFURTx4oY8fJRVAgB45foUDOq+uCbn0jOivr+0CV1Gx7kRZA8/HK0GAMwYGiZxJHQmPSPqx2vaWBpKfe67A5WY+dpWbM9vgEYpw59nDsLa+ycjNcZf6tDITYzvXk/dHSrZTkUURTy6+gC2nXCtz2/XRH3+/Pk4cuQINm7ciDVr1mDr1q244447zviehx56CN999x1Wr16NLVu2oLKyEtdee+1J233wwQeoqqqyPWbPnm2nT0HkehJDfPDuzWOgUsiw8WgNnvn2CERR2mT99cx8vLW5AADw3OxhmDWc832dVVygJ4K81TCaRRxy4eVi8mtbUVjXDqVcwNRBwVKHQ2cQE+AJL5UcBpMFhfWO25+DnEtRfTtuXbGn11z0dQ9MwT1TE1kNRv1qykDr36Dt+Q1o7TJKHE3/W7GjGKuzy3H7R3scclrn+bLbb5Hc3FysX78e7777LtLS0jBp0iS88cYbWLlyJSorK0/5npaWFrz33nt49dVXMW3aNIwePRoffPABduzYgZ07d/ba1s/PD2FhYbaHRqOx10chcklj4wLw2pyREATg450l+M/WQslieSPzhG299L9cPhh/Gh8rWSx04QRBwOhYPwBAdkmTtMHYUU/Z+4QBQdByPWSHJpMJtgodzlOnC2EwWZBd0oi/fH0IM/65FT8dq4VS/stc9PggL6lDJDc0KNQHA4K9YDBb8GNuze+/wYXkVumwdN0xAMATlw1GoLda4oj6jt0S9aysLPj5+WHMmDG25zIyMiCTybBr165Tvic7OxtGoxEZGRm255KTkxETE4OsrKxe2957770ICgrCuHHj8P77759xNFCv10On0/V6EBFw2fBwPHn5EADA8+uO4Zucin6P4fXME3hlozVJf3TGINw+OaHfY6C+NybWWobnyon6D0dY9u5MfmkoxyXa6Nwdr2nFU98cxujnNuK6t7Lwyc5SGMwWXDQwGOsfnMK56CQpQRBw+YgIAMDag1USR9N/WruMuOe/+2AwWTAtOcTlBnoU9tpxdXU1QkJCeh9MoUBAQACqq6tP+x6VSgU/P79ez4eGhvZ6z1//+ldMmzYNnp6e+OGHH3DPPfegra0N999//yn3u3TpUjz77LMX9oGIXNStk+JR2dyJd7cV4ZHVBxDso+6XJWREUcRLG/Lw7+5y9z/PHIR7prLDu6sYFWudm7mvpAmiKLrcusFVLZ04UN4CQQAyhoT8/htIcuz8TufKYLJgw5FqfLyzBLuLfmnS5e+pxMTEINwwLgbpAwJd7vcbOacrRoTj9cwT2HK8Di2dRvh6uHallyiKePx/h1BU344IXw1evj7F5b6L55yoP/7443jhhRfOuE1ubu55B3Q2nnzySdt/p6amor29HS+99NJpE/UlS5Zg8eLFtn/rdDpER0fbNUYiZ/LEZYNRpevC2oNVuPOjbKy+Ox3JYVq7HU9vMuPPXxzENznWaTCPzUzG3VMH2O141P+GRWqhksvQ0G5ASUMH4lysHPSH7rL3UTH+CPHh1CtnwESdzpYoivj2QCWeX3cMVS1dAKydtTMGh+DG8bGYOCAIMplrJQTk/AaG+mBgqDeO17Rh49Ea/GF0lNQh2dV724qw9lAVlHIBb84fhQAvldQh9blzTtQffvhh3HLLLWfcJiEhAWFhYaitre31vMlkQmNjI8LCTl0mGBYWBoPBgObm5l6j6jU1Nad9DwCkpaXhueeeg16vh1p98rwEtVp9yueJyEomE/DK9Smo0+mxu7gRCz7Ygy/vmYBw375f97W5w4A7Ps7G7qJGKGQC/nHNcPxxLG+cuRq1Qo7hUb7ILmlCdkmTyyXq6w9bq7xmsuzdafTMUa9t1aOhTe9S8xidlcUiwiKKsIiAIMAhSscL69rw5y8OYm/3tJ0QHzXmjovBvHHRdvmbSNSXLh8egeM1x7H2YKVLJ+r/3VWCv621Dgw/cdlgjHLRFRbOOVEPDg5GcPDvd7dNT09Hc3MzsrOzMXr0aADATz/9BIvFgrS0tFO+Z/To0VAqlcjMzMR1110HAMjLy0NpaSnS09NPe6ycnBz4+/szGSe6ABqlHG/fNBp/WJ6F/No2LPhgD/539wR4qftuhkxFcyduem8XCura4a1W4K0bR2FyErtlu6rRsf7ILmnC3pImXOdCFwyN7QbsLraWwXJ+uvPwVisQG+iJkoYO5Fa1YlISrxnszWwRselYLdYfqcaJmlbU6PRobDfAZLHgVKuC+qgVCPJRI9hbjRCtGvFBXkhPCERaQiDk/TCCvT2/Hnd9ko3WLhM8lHLce/EA3D45ARql3O7HJuoLl48Ixz9/PI6fT9Sjqd0AfxcbZW7tMuLNn/JtDZAXTIzDLRPipA3Kjuw2R33w4MGYOXMmFi5ciOXLl8NoNGLRokWYO3cuIiKszQ4qKiowffp0fPTRRxg3bhx8fX1x2223YfHixQgICIBWq8V9992H9PR0jB8/HgDw3XffoaamBuPHj4dGo8HGjRvxj3/8A4888oi9PgqR2/DzVGHFgrGYvWwHjlW34pHVB7DshlF9UuJXUNeGP727C5UtXQjTavDBgrG2UlRyTaN/NU/dlfyYWwOzRcTgcC1iAj2lDofOweAwbXeirsOkJPv34nBXnQYzvsguw7vbilDS0HHW72vVm9CqN6HoV0vovfFTPuKDvHDnlARcMyoSaoV9kuZNx2px5yfZMJgsGBXjhzdvGIUIP46gk3NJDPHGsEgtDlfosHJPmVNPKzSZLdh4tAZ7iptworYVJQ0dqNF1QW+yAADum5aIxZcMdLl56b9mt0QdAP773/9i0aJFmD59OmQyGa677jq8/vrrtteNRiPy8vLQ0fHLL/F//vOftm31ej1mzJiBf//737bXlUolli1bhoceegiiKCIxMRGvvvoqFi5caM+PQuQ2ovw98Z8/jcLct3di3eFqvPFTPh7ISLqgfR4oa8aCFXvQ2G7AgGAvfHxbGi+A3EBPKdrx2laXamyzgWXvTmtwuBbrj1RznroddBhMOFTegp+O1eLzvWVo6rCu5eznqcQ1qZEYnxCIcF8NAr3VUMoFyISeh7VjtSiKaGg3oL5Vj7o2PapbunC0UofMY7Uoqm/H418ewrLN+XjxuhSkDwjs09j/u6sET31zBGaLiBlDQ/H6vFS73RAgsrdbJsTjkdUH8FFWMW6fHO8QU0rOhdFswVf7K/DvTfkoPsWNvgHBXlh8ySBcPiJcguj6lyCeaV0zF6XT6eDr64uWlhZotRzRIzqVz/eU4c//OwgAWHrtcMwbF3PO+xBFEZ/tLsMz3x6BwWzB8EhfrFgwlnND3chFL21CSUMHPrx1HC4a6PzTHNr0Jox6bqO1G/SDU2zznsk5/HCkGnd8nI3B4Vqse2Cy1OG4hOL6dvwr8wTWHqqCoXukCwCiAzxw+6QEXD8mCp6q8x8Xateb8NnuUrzzcyFqdHoAwE3psVgyazA8VBeWTBvNFryw7hje3VYEALgmNRIv/mGE0yU2RL+mN5kx8fmfUN9mwBvzUnFlSoTUIZ0VvcmML7LL8dbmApQ3dQKw3uibPTISyWE+SAj2RrCPGnGBnk49in4ueahdR9SJyHn9cWw08uva8PbWQiz58hAqmztx//Sks76AqWzuxAvrj9k6u2cMDsU/56TAR+Mao6p0dkbH+KOkoQPZJU0ukahvzquFwWRBfJAXBoZ6Sx0OnaOe6Tb5ta0wmCxQKZiQnS9RFPHuz0V46Yc8W4IeptVgbHwALh8ejozBIVD0QcLrpVbg9skJmDM2Gv/4/hg+212Kj7JKsKe4Cf+5cfR5TT8xmS34MbcWr/14HMeqWwEAiy8ZiPumJTp1AkAEWJu53jg+Fq/9eALvbSty6ERdbzJjc14dtufXY+3BKjS0GwAAQd4qLJycgBvHx/ZpryRn476fnIh+15JZyRBFEe/8XIQ3fsrHhiPVuPfiREwdFHJSGXOHwYScsmZkFzdhR0EDdhc3wmwRIROAR2ck484pCVzOxg2lxvrjy/0V2F/qGvPUe5Zlu3RoKC/onVCUvwd81Aq06k0oqGtjn4zz1NxhwCOrD+DHXOvqPpOTgvDwpYOQEuVrt++Fj0aJpdcOx6xhYXhoVQ5yq3S44o2f8cYNo876JmBTuwGr9pbh46wSVDRbR+z8PZX42+zhblFGS+5jflos/r2pADllzdhX2uRwXdEtFhGf7SnFPzceR32bwfZ8qFaNO6cMwLxxMRdcMeMKmKgT0WkJgoD/u3wIRkT54clvDuN4TRseWJkDhUzAqBh/DA73gcki4nBFC45U6mD6TRvf8QkB+PPMZIf7A0H9Z1SMHwAgp7QZFovo1DdrzBYRP5+oA2CtECHnIwgCksN9sKe4CblVOibq56G8qQPz3tmJssZOqOQyPHXlEMxPi+m3G1dTBgZjzf2TcPcn+5BT1ozbVuzBS9ePwDWpp19ZoqFNj7e3FuKjrBJ0Gs0ArAn6vHExuH1ygkuuv0zuLdhHjatHRmB1djne3lKI5X8aLXVINvtLm/C3tbnI7m40G6pVY8bQMEwdFIwpScF9UonjKpioE9HvujIlAlOSgvHutkKsO1yN/No27C5utC1R1SPcV4MxcQEYE+uPiweFsCM2YVCoDzxVcrTqTThR2+bUc7oPVbSgqcMIH40CqdF+UodD52lwuNaWqNO5qW7pwg3v7EJZYyeiAzzw1vzRGBbp2+9xhPt6YNWd4/HYFwfxdU4lHlp1AOsPV+MPo6MxJEKLDr0JVS1dqG7pQnZJE747WIkOgzVBHxKuxYKJcbgyJYLLrpFLWzglAauzy23LIyaFSvv3t7XLiCe/Poyvu6dEeijleGTGINyUHsu+EKfBRJ2IzoqvpxIPXzoID186CCUN7dhV2IjC+nYoZAKSQr0xJi4AkezkTr+hkMswIsoXOwsbsb+0yakT9S151tH0SYlBvOPvxHpG0XOrWiWOxLnUt+lxw7s7UdrYgegAD3x+ZzrCfaX7na9WyPHqH0ci0t8Dy7cUYsORGmzonppyKsMjffHQJUm4eFAIp62QWxgY6oMZQ0Ox4UgN3vgpH6/PS5UslormTtzy/m6cqG2DIADXjYrCI5cOQpivRrKYnAETdSI6Z7GBXogN9JI6DHISo2L8sbOwEftKmzD3PFYPcBRbjlvn47pCUzx39kuiroMoikzazoLZIuK+T/ejsK4dEb4afHr7eEmT9B4ymYBHZyTj8uERWLWnFD/n16O4vh0+GiXCfTUI89UgLtALM4eFIS0+gOea3M5905Lww9EafHugEjekxWB8Qt8ubXg2yps6MPftnShv6kSoVo3lN45GKqdEnhUm6kREZFc9PQr2lTZLG8gFaO4wIKesGYB1jiw5r0GhPpAJQEO7ATU6PUd0zsLyLQXIKmyAp0qOj25LQ3SAY01rGhKhxbNXDwMAp++FQdSXhkX6Yt64GHy6qxRPfHUI3y2a1K9d1PUmM+78OBvlTZ2IC/TEpwvHI4LVl2eNtXtERGRXqd0N5fJr29DSYZQ2mPO0Lb8eFhEYGOrNiwwn56GSIznMOqr+2z4bdLL82jb868cTAIBnrxqKxBDHXpaQSTpRb4/NSEawjxqFde348/8OQhTF339TH3lhXR6OVOrg76lkkn4emKgTEZFdBXqrEdfdWHB/mXMu07b1uHV+OsveXUNP+efOwgaJI3FsFouIJ748BIPZgosHBeMPo0/fWZ2IHJOvpxJvzR8FhUzA2oNVeHtrYb8c93BFC1bsKAIAvPLHFCbp54GJOhER2Z0zl7+LoogttkQ9ROJoqC+MTwgAwET993y+twy7ixvhoZTjudnDOMebyEmNiQvA01cOAQC8sP4YduTX2/V4FouIZ749AotoXTloWjKXND0fTNSJiMjuUmOtifr+UucbUS+sb0eNTg+1QoYxcWyA4wrS4gMhCEBhXTtqdV1Sh+OQalu78I/vcwEAD186EFH+jjUvnYjOzY3jY/GH0VGwiMD9K/fb9XffR1nF2FvSBE+VHE9clmy347g6JupERGR3o7rnqeeUNsNi6b/5cX0hu9h6cyEl2o/rLrsIX08lhnR3f99ZxHnqp/LX745C12XCsEgtbpkQJ3U4RHSBBEHA32YPQ3KYD+rbDLjvs/0wmS19fpwTNa14YX0eAGDJrGSHWCHCWTFRJyIiuxsU6gNPlRytehNO1LZJHc452VtiTeTGxHI03ZVwnvrprT9cjTUHqyATgOevHQGFnJeLRK5Ao5Rj2fxR8FLJsauoEf/88Xif7r+p3YDbP9qLTqMZEwYEYn5abJ/u393wNy8REdmdQi5DSpQfAGCfk5W/7+0eUWfZu2thon5qJQ3tePSLAwCAhVMSMCzSV+KIiKgvDQj2xtLrRgAAlm0qwPrD1X2yX6PZgns/3YeShg5E+XvgjXmpXIXhAjFRJyKifjEq1g8AsK/EeRL1hjY9CuvbAfzSEI9cw7i4AM5T/41aXRduen83WrtMGB3rj0cuHSR1SERkB1elRGDBxDgAwIOr9mPdoaoL3udfvzuKHQUN8FLJ8e7NYxDorb7gfbq7/lvxnoiI3FpqdE/nd+dJ1LO7byokhXjDz1MlcTTUl3rmqR+p1GFnUSOuSomQOiRJdRhMuPmDPShp6EB0gAf+PX8UlCx5J3JZT1w2GKUNHcg8Vou7/7sPwyK1uGhgMPw8VPD1UGJgmA9GRPqe1aj4hzuK8fHOEggC8NrcVCSHafvhE7g+JupERNQvUrsbyhXUtaO5w+AUiW9Pos6yd9c0PiEQRyp12Hq8zq0TdVEU8ejqg8it0iHIW4VPbx+PUK1G6rCIyI6Uchn+86fReGH9MazYUYzDFTocrtD12ibIW4WLB4Vg+uAQjE8IPOnvttFswWs/HseyTQUAgEcuHYRLhnAptr7CRJ2IiPpFoLcacYGeKG7owP6yZlw8yPHXJN/bnaiPjg2QOBKyh4zBoXhvWxF+zK2B0Wxx2xHkf28uwNpDVVDKBbx142hEB3ApNiJ3oJDL8H+XD8FdFw3AD0drkFPaDL3JjIZ2A3JKm1HfZsDq7HKszi4HAAT7qBGqVSNM64FgHxV2FjaiqHt62N1TB+CeqQOk/Dguh4k6ERH1m1Ex/tZEvdTxE/UuoxmHylsAsOO7qxoXH4BALxUa2g3YVdiISUlBUofU73YWNuDlH6xLKf316mEYG8ebUkTuJtBbjXnjYjBvXIztOYPJgj3FjfgxtwZb8upQWN+OulY96lr1vUbeA71UePqqoW5dlWQvTNSJiKjfpMb648v9FdjvBPPUD1e0wGC2IMhbhdhAjjC6IrlMwCVDQrFyTxnWH6lyu0S902DGY/87CFEE5oyJ7nWRTkTuTaWQYWJiECYmBgFXAi0dRpQ1daBG14XK5k7U6PRIDPHGxckh8PVQSh2uS2KiTkRE/WZU9zz1nNJmWCyiQy/d8kvZuz8EwXHjpAszc1gYVu4pw4YjNfjrVcMc+meyry3blI+Shg6E+2rwlysGSx0OETkwX08lfD19uWRjP3LPyVhERCSJQaE+8FTJ0ao34URtm9ThnJFt/XTOT3dpEwYEwUejQF2r3qlWJLhQlc2deOfnQgDA01cOhY+GI2JERI6EiToREfUbhVyGlCg/AI69TJsoirb4RrPju0tTKWTIGGztUrzucLXE0fQPURTx3Jqj0JssGBcfgBlD2aWZiMjRMFEnIqJ+NSrWDwCwr8RxE/XC+nY0thugVsgwLIJlfq5uxtAwAMD6w9UQRVHiaOzv2wOVWHe4GgqZgKevHMKpHUREDshuiXpjYyPmz58PrVYLPz8/3HbbbWhrO3OZ49tvv42pU6dCq9VCEAQ0Nzf3yX6JiMhxjIqxjlA78oh6dnfZe0qUH1QK3tN2dVMHBcNLJUdFcyeyHfgGUl/IKWvGki8PAQAWTUvEUN6IIiJySHa7+pg/fz6OHDmCjRs3Ys2aNdi6dSvuuOOOM76no6MDM2fOxBNPPNGn+yUiIscxMtoPAFBQ147mDoO0wZzG3pJGACx7dxcapRwzh4UDAL7OqZA4GvvJrdLhlg92o8NgxuSkINx7caLUIRER0WnYpet7bm4u1q9fjz179mDMmDEAgDfeeAOXXXYZXn75ZUREnHqdvQcffBAAsHnz5j7dLxEROY5AbzXiAj2t66mXOeZ66lmFDQCAcVxT2m3MTo3A//aVY83BKjx1xVCHqqQwmS3IPFaLwrp2aJQyDAr1AQSgsK4dJ2pacbymDR1GM2ICPDE/LQZp8QEnlbPnVbdi/ru70NxhREq0H966cTSUcsf5jERE1JtdEvWsrCz4+fnZkmkAyMjIgEwmw65du3DNNdc41H6JiKh/jYrxtybqJU0Ol6iXNnSgrLETCpmAcfFM1N3FhAFBCNWqUaPTY83BSlw7KkrqkNDSYcSX+8vxUVYJiurbf3f7A2XN+O5AJcbE+uPPM5NtP79ZBQ1Y9Ok+NLYbMCLKFx/dOg7eaq7QS0TkyOzyW7q6uhohIb0vvBQKBQICAlBdff4dVc93v3q9Hnq93vZvnU533jEQEdGFS431x5f7K7CvtFnqUE6yLb8eAJAa4wcvJjNuQy4TcPOEOLy4Pg//2VKIa1IjJWuyZrGIeHXjcbzzcyH0JgsAwN9TiYsHhaCl04jihnaIIhAT6ImBoT5ICvGGr4cSW47XYXV2OfaWNOGP/8nCzKFhaNUbsT3fWiEyLFKLj29Ng68Hl2IjInJ053QF8vjjj+OFF1444za5ubkXFJA9LF26FM8++6zUYRARUbdRMX4ArI2tzBYRcpnjdJ3eXmBN1CcmBkkcCfW3+Wmx+PemAuTVtOKHozW2bvD9yWS24IFVOVh7sAoAkBzmg/lpMbhmVNTvjoJfOjQMD0xPwqsbj2PlnjKsP2IdxJAJwA1pMXh0RjKTdCIiJ3FOifrDDz+MW2655YzbJCQkICwsDLW1tb2eN5lMaGxsRFjY+f/RO9/9LlmyBIsXL7b9W6fTITo6+rzjICKiCzMo1AeeKjna9CacqG1FcphW6pAAWEcyd3SPqE9iou52fD2UuHlCLJZtKsA/vs/FRQODoVHK++34oijiqW+PYO3BKqjkMrzwh+GYPfLcRvZDtBo8f90IzBkbjR0FDRAE4MoREYgO8LRj5ERE1NfOKVEPDg5GcHDw726Xnp6O5uZmZGdnY/To0QCAn376CRaLBWlpaecX6QXsV61WQ61Wn/dxiYiobynkMqRE+SGrsAH7S5sdJlHPrdahqcMIL5UcKd3d6cm93DM1EV9kl6OkoQPv/lyIRdOS+u3Y3x+qxqe7SiEIwOvzUjFz2PkPbqTG+CM1hqsWEBE5K7u0+xw8eDBmzpyJhQsXYvfu3di+fTsWLVqEuXPn2jqzV1RUIDk5Gbt377a9r7q6Gjk5OcjPzwcAHDp0CDk5OWhsbDzr/RIRkXMYFesHANjnQOtWb+8eTU9LCGRHbDflpVbgicsGAwCWbSpAZXNnvxy3y2jGP763Th+87+LEC0rSiYjI+dntKuS///0vkpOTMX36dFx22WWYNGkS3n77bdvrRqMReXl56OjosD23fPlypKamYuHChQCAKVOmIDU1Fd9+++1Z75eIiJzDyGjraN/B8haJI/nFtu6mW5yf7t6uSonA2Dh/dBrNWLruWL8c85OdJaho7kSErwZ3T+X65kRE7k4QRVGUOoj+ptPp4Ovri5aWFmi1jlFuSUTkbmp0XUj7RyZkAnDk2ZnwUPXfXOBT0ZvMGPnsRnQazVj/4GSHKccnaRypbMEVb2yDKAJr7puEYZG+djuWyWzBRS9tRkVzJ56/djjmjoux27GIiEg655KHsq6PiIgkEarVIMRHDYsIHK2SflR9f2kzOo1mBHmrMCjUR+pwSGJDI3xxVYp1Wt2LG/LseqyNR2tQ0dyJAC8VZqdG2vVYRETkHJioExGRZEZEWUcpHaH8vafb+8TEIMnWzybHsviSgVDIBGw9Xoesgga7HEMURSzfWggAuGFcTL92mSciIsfFRJ2IiCQzPNIPAHDIARL1bT2J+gDOTyer2EAvzB1nXc71xQ3HYI/ZgluO1+FAWTM8lHLcMjGuz/dPRETOiYk6ERFJZniUdX7WoQppE/XWLiMOdN8smJjERJ1+cf+0JGiUMuwvbcYPR2v6dN8Wi4h//ngCAHDj+BgEeXMpWSIismKiTkREkulp0JVf14Z2vUmyOLIKGmC2iIgP8kKkn4dkcZDjCdFqcNukeADAi+uPwWS29Nm+v9hXjgNlzfBSybFwSkKf7ZeIiJwfE3UiIpJMiI8G4b4aiCJwpFInWRwbu0dKLxoYLFkM5LjuvGgA/D2VKKhrx7vbivpkn80dBrzQvfTbAxlJCPHR9Ml+iYjINTBRJyIiSQ2P7Gko1yzJ8U1mC37MtSbqlw4NlSQGcmxajRKPzUwGALy0IQ+bjtVe8D7/vjYXDe0GJIZ445YJ8Re8PyIici1M1ImISFI9nd8PSzRPPbukCU0dRvh6KDEuLkCSGMjxzRkbjWtSI2G2iLj1wz14+pvDqNV1nde+tufXY3V2OQQBeOG64VApeDlGRES9KaQOgIiI3NvwKD8AwEGJEvV1h6sBANMHh0AhZ8JEpyYIApZeOxwapRyf7S7Fh1kl+DCrBEkh3rh8RDhuSIs5q/L1ToMZT3x1CADwp/GxGB3Lm0NERHQyXpEQEZGkekrfC+vaoesy9uuxTWYL1hysAgBcMSK8X49NzkejlGPptcPxyW1pSI3xAwCcqG3Daz+ewOQXNuG5NUdR23r6UXZRFPF/Xx9CSUMHwrQaPDpjUD9FTkREzoYj6kREJKkALxViAz1R0tCBfSVNmDoopN+OnVXYgPo2Pfw9lZicxEZydHYmJQVhUlIQmtoN2JRXi4+ySpBT1oz3thXh450lmD0yApcND0dKlB/8vVQAAKPZgqe/PYIv91VALhPw4h9GwEejlPiTEBGRo2KiTkREkhsbF4CShg7sKW7s10T9q/0VAIDLR4RDybJ3Okf+XipcOyoK16RGYuuJevzrx+PYV9qMz/eW4/O95QCAMK0GyeE+KGnoQFF9OwDg+WuHYwpXGCAiojNgok5ERJIbG+ePL7LLsaeoqd+OWdeqt5W9X5Ma1W/HJdcjCAIuGhiMKUlB2FvShC/3VWB7fj1KGztQretCdXfTOR+1Aq/OGYlLhnB1ASIiOjMm6kREJLmx3d3Wc8qboTeZoVbI7X7MT3aWwGCyYGS0H0Z1zzcmuhCCIGBsXIDt57m1y4i86lbkVrfCz0OJKQOD4evBcnciIvp9TNSJiEhy8UFeCPJWob7NgANlLRgXb99O2C0dRnyUVQwAuH1yPARBsOvxyD35aJQYExeAMVz2j4iIzhEn5BERkeQEQUD6gCAAwOa8Wrsf7+Uf8tDUYURSiDdmDg2z+/GIiIiIzgUTdSIicggZg61N5DJz7ZuoH65owX93lQAAnr16KNdOJyIiIofDqxMiInIIUweGQC4TkFfTirLGDrscw2IR8dQ3h2ERgStTIjChexSfiIiIyJEwUSciIofg66nE2Dh/AMDGozV2Ocb/9pVjX2kzvFRy/N9lg+1yDCIiIqILxUSdiIgcxozu+eJrDlb2+b5bOo14ft0xAMD905MQ5qvp82MQERER9QUm6kRE5DAuHx4OQQD2lTb3efn78+uOoaHdgAHBXlgwMb5P901ERETUl5ioExGRwwjRajA+PhAA8F0fjqpvyqvFZ7tLAQB/mz0cKgX//BEREZHj4pUKERE5lKtHRgAAVu0pg9kiXvD+qlo68cjnBwAACybGIX1A4AXvk4iIiMiemKgTEZFDuWpkBPw8lShp6MAPR6ovaF9dRjPu+mQfGtoNGByuxWMzk/soSiIiIiL7sVui3tjYiPnz50Or1cLPzw+33XYb2trazviet99+G1OnToVWq4UgCGhubj5pm7i4OAiC0Ovx/PPP2+lTEBFRf/NUKXDT+FgAwPItBRDF8xtVF0URT359GAfKmuHrocR/bhwNjVLel6ESERER2YXdEvX58+fjyJEj2LhxI9asWYOtW7fijjvuOON7Ojo6MHPmTDzxxBNn3O6vf/0rqqqqbI/77ruvL0MnIiKJ3TQhDhqlDAfKW7Apr/a89vFRVglWZ5dDJgBvzEtFTKBnH0dJREREZB8Ke+w0NzcX69evx549ezBmzBgAwBtvvIHLLrsML7/8MiIiIk75vgcffBAAsHnz5jPu38fHB2FhYX0ZMhEROZAgbzVunhCH/2wpxMsbjmPqwBDIZMJZv39vcSP+uuYoAODxWcmYMjDYXqESERER9Tm7jKhnZWXBz8/PlqQDQEZGBmQyGXbt2nXB+3/++ecRGBiI1NRUvPTSSzCZTBe8TyIicix3TRkAb7UCR6t0+Dqn4qzf12Ew4eHVB2C2iLgqJQILJyfYMUoiIiKivmeXEfXq6mqEhIT0PpBCgYCAAFRXX1hjoPvvvx+jRo1CQEAAduzYgSVLlqCqqgqvvvrqad+j1+uh1+tt/9bpdBcUAxER2Z+/lwr3XpyIF9Yfw/PrjuHSoWHwVv/+n60X1+ehpKEDEb4a/O2aYRCEsx+JJyIiInIE5zSi/vjjj5/UyO23j2PHjtkrVgDA4sWLMXXqVIwYMQJ33XUXXnnlFbzxxhu9EvHfWrp0KXx9fW2P6Ohou8ZIRER949ZJcYgN9ERtqx53fLQX7fozV1BlFTRgxY5iAMALfxgBrUbZD1ESERER9a1zStQffvhh5ObmnvGRkJCAsLAw1Nb2bv5jMpnQ2NjY53PL09LSYDKZUFxcfNptlixZgpaWFtujrKysT2MgIiL7UCvk+NfcVHip5NhR0IDJL27Cmz+dQEun8aRtq1u68NCqHADADWkxmJzEeelERETknM6p9D04OBjBwb9/4ZOeno7m5mZkZ2dj9OjRAICffvoJFosFaWlp5xfpaeTk5EAmk51Uav9rarUaarW6T49LRET9Y2S0Hz66bRweXJWDssZOvPzDcby3rQiPzUzG7NRIaJRyNLTpceuKPajWdSExxBtPXDZY6rCJiIiIzpsgnu8Ctb9j1qxZqKmpwfLly2E0GrFgwQKMGTMGn376KQCgoqIC06dPx0cffYRx48YBsM5tr66uxt69e7Fw4UJs3boVPj4+iImJQUBAALKysrBr1y5cfPHF8PHxQVZWFh566CHMmjULH3744VnHptPp4Ovri5aWFmi1Wnt8fCIi6mMmswVrD1XhjZ/ykV/bBgDw0SiQMTgUe4obUd7UiUAvFb6+dyKiA7gUGxERETmWc8lD7ZaoNzY2YtGiRfjuu+8gk8lw3XXX4fXXX4e3tzcAoLi4GPHx8di0aROmTp0KAHjmmWfw7LPPnrSvDz74ALfccgv27duHe+65B8eOHYNer0d8fDz+9Kc/YfHixec0Ys5EnYjIeRnNFqzYXowVO4pR0dxpez7SzwMf3joOiSHeEkZHREREdGoOkag7MibqRETOz2IRsbOwAVtP1CMhyAszhobB15PN44iIiMgxnUseapfl2YiIiOxNJhMwITEIExKDpA6FiIiIqE+dU9d3IiIiIiIiIrIvJupEREREREREDoSJOhEREREREZEDYaJORERERERE5ECYqBMRERERERE5ECbqRERERERERA6EiToRERERERGRA2GiTkRERERERORAmKgTERERERERORCF1AFIQRRFAIBOp5M4EiIiIiIiInIHPflnTz56Jm6ZqLe2tgIAoqOjJY6EiIiIiIiI3Elrayt8fX3PuI0gnk0672IsFgsqKyvh4+MDQRCkDue0dDodoqOjUVZWBq1WK3U4ZAc8x66P59j18Ry7Pp5j18dz7Pp4jl2fM5xjURTR2tqKiIgIyGRnnoXuliPqMpkMUVFRUodx1rRarcP+sFHf4Dl2fTzHro/n2PXxHLs+nmPXx3Ps+hz9HP/eSHoPNpMjIiIiIiIiciBM1ImIiIiIiIgcCBN1B6ZWq/H0009DrVZLHQrZCc+x6+M5dn08x66P59j18Ry7Pp5j1+dq59gtm8kREREREREROSqOqBMRERERERE5ECbqRERERERERA6EiToRERERERGRA2GiTkRERERERORAmKg7sGXLliEuLg4ajQZpaWnYvXu31CHRWdq6dSuuvPJKREREQBAEfP31171eF0URTz31FMLDw+Hh4YGMjAycOHGi1zaNjY2YP38+tFot/Pz8cNttt6Gtra0fPwWdztKlSzF27Fj4+PggJCQEs2fPRl5eXq9turq6cO+99yIwMBDe3t647rrrUFNT02ub0tJSXH755fD09ERISAgeffRRmEym/vwodBpvvfUWRowYAa1WC61Wi/T0dKxbt872Os+v63n++echCAIefPBB23M8z87tmWeegSAIvR7Jycm213l+XUNFRQVuvPFGBAYGwsPDA8OHD8fevXttr/Oay7nFxcWd9D0WBAH33nsvANf+HjNRd1CrVq3C4sWL8fTTT2Pfvn1ISUnBjBkzUFtbK3VodBba29uRkpKCZcuWnfL1F198Ea+//jqWL1+OXbt2wcvLCzNmzEBXV5dtm/nz5+PIkSPYuHEj1qxZg61bt+KOO+7or49AZ7Blyxbce++92LlzJzZu3Aij0YhLL70U7e3ttm0eeughfPfdd1i9ejW2bNmCyspKXHvttbbXzWYzLr/8chgMBuzYsQMffvghVqxYgaeeekqKj0S/ERUVheeffx7Z2dnYu3cvpk2bhquvvhpHjhwBwPPravbs2YP//Oc/GDFiRK/neZ6d39ChQ1FVVWV7bNu2zfYaz6/za2pqwsSJE6FUKrFu3TocPXoUr7zyCvz9/W3b8JrLue3Zs6fXd3jjxo0AgOuvvx6Ai3+PRXJI48aNE++9917bv81msxgRESEuXbpUwqjofAAQv/rqK9u/LRaLGBYWJr700ku255qbm0W1Wi1+9tlnoiiK4tGjR0UA4p49e2zbrFu3ThQEQayoqOi32Ons1NbWigDELVu2iKJoPZ9KpVJcvXq1bZvc3FwRgJiVlSWKoih+//33okwmE6urq23bvPXWW6JWqxX1en3/fgA6K/7+/uK7777L8+tiWltbxaSkJHHjxo3iRRddJD7wwAOiKPJ77AqefvppMSUl5ZSv8fy6hscee0ycNGnSaV/nNZfreeCBB8QBAwaIFovF5b/HHFF3QAaDAdnZ2cjIyLA9J5PJkJGRgaysLAkjo75QVFSE6urqXufX19cXaWlptvOblZUFPz8/jBkzxrZNRkYGZDIZdu3a1e8x05m1tLQAAAICAgAA2dnZMBqNvc5xcnIyYmJiep3j4cOHIzQ01LbNjBkzoNPpbKO25BjMZjNWrlyJ9vZ2pKen8/y6mHvvvReXX355r/MJ8HvsKk6cOIGIiAgkJCRg/vz5KC0tBcDz6yq+/fZbjBkzBtdffz1CQkKQmpqKd955x/Y6r7lci8FgwCeffIJbb70VgiC4/PeYiboDqq+vh9ls7vUDBQChoaGorq6WKCrqKz3n8Eznt7q6GiEhIb1eVygUCAgI4M+Ag7FYLHjwwQcxceJEDBs2DID1/KlUKvj5+fXa9rfn+FQ/Az2vkfQOHToEb29vqNVq3HXXXfjqq68wZMgQnl8XsnLlSuzbtw9Lly496TWeZ+eXlpaGFStWYP369XjrrbdQVFSEyZMno7W1lefXRRQWFuKtt95CUlISNmzYgLvvvhv3338/PvzwQwC85nI1X3/9NZqbm3HLLbcAcP3f0wqpAyAicmb33nsvDh8+3GveI7mGQYMGIScnBy0tLfjiiy9w8803Y8uWLVKHRX2krKwMDzzwADZu3AiNRiN1OGQHs2bNsv33iBEjkJaWhtjYWHz++efw8PCQMDLqKxaLBWPGjME//vEPAEBqaioOHz6M5cuX4+abb5Y4Oupr7733HmbNmoWIiAipQ+kXHFF3QEFBQZDL5Sd1LKypqUFYWJhEUVFf6TmHZzq/YWFhJzUONJlMaGxs5M+AA1m0aBHWrFmDTZs2ISoqyvZ8WFgYDAYDmpube23/23N8qp+BntdIeiqVComJiRg9ejSWLl2KlJQU/Otf/+L5dRHZ2dmoiIcpRQAABAdJREFUra3FqFGjoFAooFAosGXLFrz++utQKBQIDQ3leXYxfn5+GDhwIPLz8/k9dhHh4eEYMmRIr+cGDx5sm+LAay7XUVJSgh9//BG333677TlX/x4zUXdAKpUKo0ePRmZmpu05i8WCzMxMpKenSxgZ9YX4+HiEhYX1Or86nQ67du2ynd/09HQ0NzcjOzvbts1PP/0Ei8WCtLS0fo+ZehNFEYsWLcJXX32Fn376CfHx8b1eHz16NJRKZa9znJeXh9LS0l7n+NChQ70uDjZu3AitVnvSRQc5BovFAr1ez/PrIqZPn45Dhw4hJyfH9hgzZgzmz59v+2+eZ9fS1taGgoIChIeH83vsIiZOnHjS8qjHjx9HbGwsAF5zuZIPPvgAISEhuPzyy23Pufz3WOpudnRqK1euFNVqtbhixQrx6NGj4h133CH6+fn16lhIjqu1tVXcv3+/uH//fhGA+Oqrr4r79+8XS0pKRFEUxeeff1708/MTv/nmG/HgwYPi1VdfLcbHx4udnZ22fcycOVNMTU0Vd+3aJW7btk1MSkoS582bJ9VHol+5++67RV9fX3Hz5s1iVVWV7dHR0WHb5q677hJjYmLEn376Sdy7d6+Ynp4upqen2143mUzisGHDxEsvvVTMyckR169fLwYHB4tLliyR4iPRbzz++OPili1bxKKiIvHgwYPi448/LgqCIP7www+iKPL8uqpfd30XRZ5nZ/fwww+LmzdvFouKisTt27eLGRkZYlBQkFhbWyuKIs+vK9i9e7eoUCjEv//97+KJEyfE//73v6Knp6f4ySef2LbhNZfzM5vNYkxMjPjYY4+d9Jorf4+ZqDuwN954Q4yJiRFVKpU4btw4cefOnVKHRGdp06ZNIoCTHjfffLMoitblQp588kkxNDRUVKvV4vTp08W8vLxe+2hoaBDnzZsnent7i1qtVlywYIHY2toqwaeh3zrVuQUgfvDBB7ZtOjs7xXvuuUf09/cXPT09xWuuuUasqqrqtZ/i4mJx1qxZooeHhxgUFCQ+/PDDotFo7OdPQ6dy6623irGxsaJKpRKDg4PF6dOn25J0UeT5dVW/TdR5np3bnDlzxPDwcFGlUomRkZHinDlzxPz8fNvrPL+u4bvvvhOHDRsmqtVqMTk5WXz77bd7vc5rLue3YcMGEcBJ500UXft7LIiiKEoylE9EREREREREJ+EcdSIiIiIiIiIHwkSdiIiIiIiIyIEwUSciIiIiIiJyIEzUiYiIiIiIiBwIE3UiIiIiIiIiB8JEnYiIiIiIiMiBMFEnIiIiIiIiciBM1ImIiIiIiIgcCBN1IiIiIiIiIgfCRJ2IiIiIiIjIgTBRJyIiIiIiInIgTNSJiIiIiIiIHMj/Ax1ALJFC8rMlAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(12,8))\n",
    "plt.subplot(2,1,1)\n",
    "plt.title('signal')\n",
    "plt.plot(to_test)\n",
    "\n",
    "plt.subplot(2,1,2)\n",
    "# plt.title(f'After preprocessing using{prep_type(type_)}')\n",
    "# plt.plot(test[0])\n",
    "\n",
    "if type_==2:\n",
    "    plt.title(f'After preprocessing using{prep_type(type_)}')\n",
    "    plt.plot(test[0])\n",
    "\n",
    "else:\n",
    "    \n",
    "    plt.title(f'After preprocessing using{prep_type(type_)}')\n",
    "    plt.plot(test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 630,
   "id": "b1e6daa3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "test shape after  (1, 700)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "(1, 700)"
      ]
     },
     "execution_count": 630,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "if type_ !=2:\n",
    "    test=np.expand_dims(test,axis=0)\n",
    "print('test shape after ',test.shape)\n",
    "test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 631,
   "id": "dce07312",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "3"
      ]
     },
     "execution_count": 631,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pred=loaded_model.predict(test)\n",
    "\n",
    "pred[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 632,
   "id": "e3e40876",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'subject_4'"
      ]
     },
     "execution_count": 632,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_sub(pred[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f745d56e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b005c3d6",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 251,
   "id": "abe8ab25",
   "metadata": {},
   "outputs": [],
   "source": [
    "# using fiducial featues \n",
    "\n",
    "# svm 100%\n",
    "# LR 75%\n",
    "# LDA 100%\n",
    "\n",
    "# using wavelet featues \n",
    "\n",
    "# svm 100%\n",
    "\n",
    "# LR 100% \n",
    "\n",
    "# LDA  100%\n",
    "\n",
    "# using AC/DCT featues \n",
    "\n",
    "# svm   100%\n",
    "\n",
    "# LR   100%\n",
    "\n",
    "# LDA   100%\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1a90a353",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "from statsmodels.graphics import tsaplots\n",
    "from scipy.signal import butter,filtfilt,savgol_filter\n",
    "from scipy.signal import find_peaks\n",
    "\n",
    "import statsmodels.api as sm\n",
    "import scipy.io\n",
    "import scipy\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "\n",
    "def ecg_isoline_drift_correction(ecg_signal, sampling_rate):\n",
    "\n",
    "    # Apply a high-pass filter to remove baseline wander and DC drift\n",
    "    b, a = butter(2, 0.5 / (sampling_rate / 2), 'highpass')\n",
    "    ecg_filtered = filtfilt(b, a, ecg_signal)\n",
    "\n",
    "    # Estimate the isoelectric line (baseline) using a moving average filter\n",
    "    window_size = int(sampling_rate * 0.2)  # 200 ms window size\n",
    "    baseline = savgol_filter(ecg_filtered, window_size, 1)\n",
    "\n",
    "    # Subtract the estimated baseline from the filtered ECG signal\n",
    "    ecg_corrected = ecg_filtered - baseline\n",
    "\n",
    "    return ecg_corrected\n",
    "\n",
    "def butter_bandbass_filter(Input_signal,low_cutoff,high_cutoff,sampling_rate,order=4):\n",
    "    nyq=0.5*sampling_rate #nyquist sampling\n",
    "    low=low_cutoff/nyq\n",
    "    high=high_cutoff/nyq\n",
    "    \n",
    "    numerator,denominator=butter(order,[low,high],btype='band',output='ba',analog=False,fs=None)\n",
    "    filtered=filtfilt(numerator,denominator,Input_signal)\n",
    "    \n",
    "    return filtered\n",
    "\n",
    "\n",
    "def ecg_segmentation(ecg_signal, fs=1000, threshold=0.5):\n",
    "    # Find R-peaks using a threshold-based approach\n",
    "    peaks, _ = find_peaks(ecg_signal, height=threshold)\n",
    "\n",
    "    \n",
    "    # Calculate the RR intervals\n",
    "    rr_intervals = np.diff(peaks) / fs\n",
    "\n",
    "#     # Plot the ECG signal and detected R-peaks\n",
    "#     time = np.arange(len(ecg_signal)) / fs\n",
    "#     plt.figure(figsize=(12, 6))\n",
    "#     plt.plot(time, ecg_signal, 'b', label='ECG Signal')\n",
    "#     plt.plot(time[peaks], ecg_signal[peaks], 'ro', label='R-Peaks')\n",
    "#     plt.xlabel('Time (s)')\n",
    "#     plt.ylabel('Amplitude')\n",
    "#     plt.title('ECG Signal Segmentation')\n",
    "#     plt.legend()\n",
    "#     plt.grid(True)\n",
    "#     plt.show()\n",
    "\n",
    "    return peaks, rr_intervals\n",
    "\n",
    "def extract_ecg_segments(ecg_signal, r_peaks, fs=1000, window_size=0.2):\n",
    "    # Calculate the window size in samples\n",
    "    window_size_samples = int(window_size * fs)\n",
    "\n",
    "    # Initialize an empty array to store the segments\n",
    "    segments = []\n",
    "\n",
    "    # Loop over the R-peaks and extract the corresponding segments\n",
    "    for r_peak in r_peaks:\n",
    "        start = r_peak - window_size_samples // 2\n",
    "        end = r_peak + window_size_samples // 2\n",
    "        segment = ecg_signal[start:end]\n",
    "        segments.append(segment)\n",
    "#     return np.array(segments)       \n",
    "#######################\n",
    "    lens=[len(s) for s in segments]\n",
    "    max_len=max(lens)\n",
    "\n",
    "    new_segements=[]\n",
    "    for s in segments:\n",
    "        if len(s)==max_len:\n",
    "            new_segements.append(s)\n",
    "        else:\n",
    "            zeros_size=max_len-len(s)\n",
    "            s=np.append(s,np.zeros(zeros_size))\n",
    "            new_segements.append(s)\n",
    "############################    \n",
    "    \n",
    "    \n",
    "    return np.array(new_segements)\n",
    "\n",
    "def preprocess_using_ACDCT(filtered_signal):\n",
    "    sig=np.array(filtered_signal)\n",
    "    AC=sm.tsa.acf(sig,nlags=1000)\n",
    "    s=AC[0:100]\n",
    "    DCT=scipy.fftpack.dct(s,type=2)\n",
    "    \n",
    "    return DCT\n",
    "\n",
    "\n",
    "from fiducial_features import pan_tompkins\n",
    "def preprocess_using_fiducial(filtered_signal):\n",
    "    \n",
    "    features=pan_tompkins(filtered_signal)\n",
    "    return features\n",
    "\n",
    "def preprocess_using_wavelet(filtered_signal):  \n",
    "    import pywt\n",
    "    from pywt import wavedec ,waverec\n",
    "\n",
    "    wavelet = 'db4'\n",
    "    level = 4\n",
    "    coeffs = pywt.wavedec(filtered_signal, wavelet, level=level)\n",
    "    \n",
    "    for i in range(1, level):\n",
    "        coeffs[i] = np.zeros_like(coeffs[i])\n",
    "\n",
    "    res = pywt.waverec(coeffs, 'db4')\n",
    "    return res\n",
    "\n",
    "\n",
    "\n",
    "def preprocessing_general(sig):\n",
    "    ecg_corrected = ecg_isoline_drift_correction(sig, sampling_rate=1000)\n",
    "\n",
    "    r_peaks, rr_intervals = ecg_segmentation(ecg_corrected, fs=1000, threshold=0.7)\n",
    "    segments = extract_ecg_segments(ecg_corrected, r_peaks, fs=1000, window_size=0.7)\n",
    "    return segments\n",
    "\n",
    "def get_features_general(signal,type_):\n",
    "    \n",
    "    \"\"\"\n",
    "    # type_=1:use wavelet\n",
    "    # type_=2:use fiducial_features\n",
    "    # type_=3:use AC/DCT\n",
    "    \n",
    "    \"\"\"\n",
    "#     butterworth filter 2-40  or 2 -50 \n",
    "#     sr=1000\n",
    "    filtered_signal=butter_bandbass_filter(signal,low_cutoff=2,high_cutoff=40,sampling_rate=1000,order=4)\n",
    "    \n",
    "#     Features extraction using AC/DCT \n",
    "    \n",
    "    if type_==1:\n",
    "        features=preprocess_using_wavelet(filtered_signal)\n",
    "    elif type_==2:\n",
    "        features=preprocess_using_fiducial(filtered_signal)\n",
    "    elif type_==3:\n",
    "        features=preprocess_using_ACDCT(filtered_signal)\n",
    "    \n",
    "    return features\n",
    "\n"
   ]
  }
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